Wednesday 15 October
Time Hall 2 Room 10 Room 11 Room 12 Room Verlaine
09:00
09:00-09:30
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OO

OFFICIAL OPENING

Keynote Speakers: Alain D'ACUNTO (a/professor) (Keynote Speaker, Metz, France), Hamid ZAHROUNI (Director of the LEM3) (Keynote Speaker, Metz, France)
09:30
09:30-09:50
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PR

PRESENTATION HYBRID MACHINING WITH PULSE LASER AND MILLING

Keynote Speaker: Ning HE (Keynote Speaker, Nanjing, China)
09:50
09:50-10:10
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PR2

PRESENTATIONS ON DEVELOPMENTS IN MACHINE TOOLS
AND MACHINING METHODS ABOUT HYBRID MACHINING (SUBTRACTIVE AND ADDITIVE)

Keynote Speaker: Magnus VON ELLING (Keynote Speaker, Darmstadt, Germany)
10:10
10:10-10:30
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PL

PLENARY RESEARCH AND APPLICATION OF NC CODE OPTIMIZATION
FOR BETTER PRODUCTIVITY AND SURFACE QUALITY

Keynote Speaker: Petr VAVRUŠKA (Keynote Speaker, Prague, Czech Republic)
10:30
10:30-10:50
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MA

MACHINABILITY OF STEELS –
TECHNOLOGICAL INNOVATION AND NEW MATERIALS

Keynote Speaker: Jean-Edouard DESAIGUES (Machinability) (Keynote Speaker, Metz, France)
11:15
11:15-11:35
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CB1

COFFEE BREAK

11:35
11:35-12:55
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A

PRESENTATIONS SESSION
Virtual machining

11:35 - 11:55 #44707 - 1 Enhancing Productivity and Sustainability in Manufacturing through Dynamic Control of 5-Axis Conical Taper Barrel Machining Operations.
Enhancing Productivity and Sustainability in Manufacturing through Dynamic Control of 5-Axis Conical Taper Barrel Machining Operations.

The machining industry seeks to enhance productivity and sustainability in manufacturing. One way to achieve this is through the use of novel machining strategies such as conical taper barrel milling. Conical taper barrel milling tools, due to the increased stepover driven by the large contact radii for an equivalent stepover cusp, improve surface quality, material removal rates, and efficiency in machining freeform surfaces. Despite their benefits, industry adoption is hindered by challenges in programming varying tilt angles which leads to uneven tool wear distribution and premature tool replacement. Unlike lathes, which use the G96 function (ISO 6983) to maintain constant surface speed, milling machine tools traditionally operate with fixed spindle speeds and fixed diameter tools, thereby limiting adaptability. The variable diameter of Conical taper barrel tools in freeform machining demands dynamic adjustments to spindle speed and feedrate to maintain constant surface speed and chip thickness. This conference paper introduces a novel method for controlling conical taper barrel cutters in 5-axis milling by dynamically modulating spindle speed, feedrate, tool center point (TCP) position, and tool orientation. Machining trials demonstrate the feasibility and efficacy of the proposed method.
Rich BONNELL (Sheffield, United Kingdom), Rob CARROLL, Callum GREEN, Adam BROWN, Robert WARD
11:55 - 12:15 #44991 - 2 Critical aspects of practical implementation of digital twins in machining.
Critical aspects of practical implementation of digital twins in machining.

The process digital twins have been developed for predictive check and optimization of the machining process setting and for postprocess check of the workpiece quality based on the machining data. Although both concepts offer significant advantages in use, the practical implementation is not easy, and it is facing various barriers. The paper presents an use case of a mould milling on the medium-size machining centre with support of the predictive and postprocess digital twin. Quantification of machining errors is presented as well as possible steps for the process improvement with respect to the workpiece surface quality and machining productivity. Issues with implementation of the digital twin into the process planning workflow are described. Based on that, a concept of hybrid digital twin (HDT) is proposed. The HDT consists of the predictive and postprocess parts, both in minimal viable configuration. The predictive digital twin includes CNC interpolator for precise prediction of the tool path and the machining time. The postprocess digital twin includes material removal model enabling comparison of the planned workpiece geometry and the real workpiece geometry for quick identification of the surface errors. The approach is demonstrated on the use case of a realistic part.
Petr KOLAR, Michal RYTIR, Matej SULITKA (, Czech Republic)
12:15 - 12:35 #45026 - 3 Simulation of 5-Axis Milling Surface Morphology Using Ball Nose Cutter.
Simulation of 5-Axis Milling Surface Morphology Using Ball Nose Cutter.

The surface morphology exerts a critical influence on the properties of microcontact, friction, wear, and lubrication in gear transmission. The precise prediction of morphology on the surface generated by 5-axis ball-end milling remains a challenge. The commercially available CAM software usually oversimplifies the complex interaction between the workpiece and the tool, and this leads to an inaccurate estimation of surface morphology, particularly in the feed direction. The purpose of this research is to improve the prediction of surface morphology by taking into account the cutting edges and their relative motion during the milling process in 3D space. The tool position source file (CLSF) generated by CAM software is first processed using a routine. Then, interpolation is applied to discretize the tool path, whereby a detailed geometrical model related to ball-nose cutting edges is developed. Through the calculation of the trajectories of infinitesimal cutting-edge elements (ICEs) along the discretized toolpath, the trochoidal motion of the tool is finally simulated, creating a point cloud that represents the movement of the cutting edges. A structured grid is used to assess the resulting texture of the surface. It enables the estimation of the surface characteristics by saving the minimum height points at each grid. Key findings demonstrate that the developed model can effectively reproduce the key features on the actual surface, including cusp marks, scallop heights, and local roughness variations. This approach of predicting milled surface using CAM data is expected to be further explored to enhance quality control in 5-axis milling.
Amirsajjad RAHMANI (Leuven, Belgium), Jun QIAN, Sylvie CASTAGNE
12:35 - 12:55 #45142 - 4 Digital-thread enabled time optimal trajectory generation for machining toolpaths.
Digital-thread enabled time optimal trajectory generation for machining toolpaths.

The manufacturing sector is undergoing a data-driven revolution, where standards such as ISO 10303 AP238 (STEP-NC) play a crucial role in enabling a seamless digital thread across the entire manufacturing lifecycle. With the increasing adoption of digital twins, manufacturers can enhance productivity, optimise sustainability, and ensure compliance with ever-stringent industry regulations. However, as the complexity of manufacturing operations grows, so does the demand for end-to-end certifiable manufacturing processes, necessitating interoperable, standards-based data exchange to maintain traceability and trust. This study presents a novel optimal CNC toolpath trajectory generation framework that, for the first time, complies with ISO 10303-238 (AP238 STEP-NC), the digital thread-enabled standard for manufacturing data exchange. The proposed method enables the integration of geometric dimensioning and tolerancing (GD&T) information into toolpath trajectory generation, optimising machining time, geometric tolerances, and surface finish while respecting both machine tool actuation limits. The proposed method is validated on industrial machining toolpaths, demonstrating significant improvements in cycle time, accuracy, and conformance.
David WILKINSON (Sheffield, United Kingdom), Burak SENCER, Robert WARD
11:35-12:55
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PRESENTATIONS SESSION
Micro cutting

11:35 - 11:55 #44943 - 5 Micro surface texturing through ultrasonic machining with a piezo actuated tool.
Micro surface texturing through ultrasonic machining with a piezo actuated tool.

The research investigates the application of Ultrasonic Vibration-Assisted machining (UVAM). It examines the mechanisms and experimental setups through vibrating micromachining driven by a piezo-actuated tool. Previous literature has demonstrated that UVAM is effective by improving the surface quality, reducing cutting forces, reducing heat, extending the tool life, and several other benefits. This research gives an overall overview of the process of manufacturing the piezoelectric tool, preparing the mechanical and electrical experimental set-up to run these types of tools, and testing it on surfaces. Moreover, this research focuses on understanding the nuances of the power supply, wiring, connections, and electrical configurations. The creation of high tolerance surfaces and achieving precise accuracy on the micro-scale has become primordial for the functioning of modern devices like sensors, semi-conductors, and silicon chips.  The findings contribute to the ongoing development of micromachining technologies, offering insights into improving accuracy and consistency at the micro-scale.
Roland BEJJANI (BYBLOS, Lebanon), Abboud CHRISTOPHE
11:55 - 12:15 #44842 - 6 Influence on the quality of micromilling channels in titanium alloy produced over abrasive waterjet machined surfaces.
Influence on the quality of micromilling channels in titanium alloy produced over abrasive waterjet machined surfaces.

Titanium alloys are widely employed in several industrial applications, including medical sector thanks to their biocompatibility, and are useful when high strength-to-weight ratio, high temperature and corrosion resistance are desirable. Since titanium alloys have considerably high hardness and being difficult to machine, abrasive water-jet machining (AWJM) represents an interesting technology to preserve the material’s properties, as it also reduces the damage caused by material overheating. In order to obtain micro details for precision engineering, micromilling with micro-ball end mills can be used as a secondary process to refine the surface quality previously obtained. However, the existing literature lacks in-depth studies on the micromilling process applied to previously AWJ-machined pockets. The aim of this study is to analyse the surface quality of the channels after these two machining processes comparing the results obtained with workpieces without AWJ-machined pockets. To assess the quality of the specimens, surface roughness, burrs formation and dimensional accuracy are investigated. Practical recommendations are claimed to optimise this hybrid advanced machining strategies in titanium alloys.
Filippo CARRETTA, Laurent CROUZEIX, Anna Carla ARAUJO (Toulouse)
12:15 - 12:35 #44990 - 7 Finite element modelling of micro-cutting of 316L stainless steel using a coupled eulerian lagrangian approach (CEL).
Finite element modelling of micro-cutting of 316L stainless steel using a coupled eulerian lagrangian approach (CEL).

Micromachining employing cutting tools is widely employed to manufacture precision parts in industry, but it suggests the appearance of scale effects to be taken into account to control the process. Finite element simulation is a powerful tool for understanding the mechanisms that govern the micro-cutting process, as it takes into account local variations in stress, strain and temperature within the element. However, finite element modelling of machining remains a major challenge due to the complexity of the phenomena involved, such as large deformation, high strain rates and thermomechanical interactions. Different numerical approaches such as Lagrangian, Eulerian and Arbitrary Lagrangian Eulerian (ALE) have been used in this context. However, these methods need to manage mesh distortion or mesh frontiers that could greatly influence local material flow and stress localization. The Coupled Eulerian Lagrangian (CEL) approach seems to be a promising alternative, due to its ability to eliminate mesh distortion problems. In this study, a CEL model of micro-cutting of 316L stainless steel is developed. The proposed model use a Johson-Cook constitutive law identified from cutting tests, and a friction coefficient determined through pin-on-cylinder tests conducted on a lathe. After convergence studies, numerical results are compared with experimental data obtained from orthogonal cutting tests conducted in turning. The comparison highlights the potential of the CEL method as a promising approach for micro-cutting process simulation, including multi-pass machining.
Lobna CHAABANI, Michael FONTAINE (BESANCON), Alexandre GILBIN, Philippe PICART
12:35 - 12:55 #44976 - 24 High speed single pulse microdrilling strategies for the reduction of distortions and defects in high micro-hole density metal panels.
High speed single pulse microdrilling strategies for the reduction of distortions and defects in high micro-hole density metal panels.

High-throughput laser micro-drilling is a technology in great demand for various applications such as filters, producing surfaces with better aerodynamic performance, etc. In order to face the production at large scale of industrially relevant parts such as micro-drilled structures for the mentioned applications, has made necessary to develop a high- performance equipment with also the required capabilities to contemplate the small deviations associated to the microdrilling process itself, such as, small variations in the working distance which would produce holes with non-optimal characteristics. Many other factors can also occur during a process that usually takes several hours (accumulated stresses that tend to bend the material, accumulation of the material in the nozzle of the laser head, accumulation of spatter deposition on the drilled surface, etc.). All these instability factors, which greatly affects the quality of the produced components, become even more relevant for those applications where a high density of micro-drilling holes is required. In that sense, in the frame of Laserway project, different activities, which are being research on at two levels: Micro-drilling machine improvement (new working distance control based on a new OCT developed sensor and high speed actuator, a new laser head concept for high speed processing with laser beam compensation, an improved camera monitoring system) and development of new single pulse drilling process strategies (based on surface preparation and selective drilling processes). The purpose of this paper is the presentation of achieved results related to the above mentioned performed activities.
Jose Ignacio ESMORIS (Eibar, Spain), Carlos SORIANO, Roberto OCAÑA
11:35-12:55
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P

PRESENTATIONS SESSION
AI in machining

11:35 - 11:55 #44828 - 8 Condition monitoring in machining using a transformer model with implicit labeling .
Condition monitoring in machining using a transformer model with implicit labeling .

Tool wear represents a central challenge for manufacturing companies. The resulting workpiece rejects and machine downtimes cause significant costs. One difficulty lies in predicting the optimal tool change timing. In practice, two suboptimal scenarios occur: Either tools are changed too early, not fully utilizing their service life, or too late, which can result in quality losses or tool breakage. In the context of Industry 4.0 and manufacturing digitalization, large amounts of process data are continuously generated, enabling indirect process control of tool wear. The temporal dependence of process data and the multitude of influencing factors require the development of powerful analysis methods. This paper examines the development of a concept for detecting tool condition using a Transformer-based approach in milling and drilling processes. The captured motor current of the machine axes is analyzed. The concept uses implicit labeling of training data, utilizing only sensor signals from unworn tools. The Transformer encoder learns a representation of the unworn machining state, based on which a linear decoder performs time series prediction. The reconstruction error, i.e., the deviation between predicted and actual values, serves as an indicator of tool condition. Statistical parameters of the reconstruction error enable quantitative comparison between normal and worn tool behavior. Besides presenting the concept, the implementation, development of a suitable model architecture, and determination of optimal hyperparameters are addressed. Additionally, the study explores various fine-tuning strategies to assess model transferability, both between different machining processes (from milling to drilling) and between different machine tools.
Tim REEBER (Stuttgart, Germany), Cornelius NEUN, Hans-Christian MÖHRING
11:55 - 12:15 #44901 - 9 Research on chatter detection for thin-walled workpiece machining based on meta-reinforcement and hybrid deep convolutrional neural network.
Research on chatter detection for thin-walled workpiece machining based on meta-reinforcement and hybrid deep convolutrional neural network.

Cutting chatter is a common phenomenon that negatively impacts surface quality, accelerates tool wear, and diminishes production efficiency. To suppress chatter, it is essential to accurately detect and characterize chatter during the cutting process. In recent years, artificial intelligence techniques, particularly deep learning, have been extensively applied in vibration detection, achieving promising results. However, in practical production scenarios, the detection accuracy of vibration models significantly decreases when applied to cutting conditions that deviate from the training environment due to complex workpiece structures and variable cutting parameters. This study mainly aims at the problem that the chatter recognition model has low recognition accuracy among different workpieces. It combines the deep learning model and the reinforcement learning framework under the meta-learning framework, extracts typical structural feature knowledge and expands it to general workpieces, thereby improving the chatter recognition accuracy for different workpieces. Multivariate variational mode decomposition (MVMD) and modified features are utilized for feature extraction. In order to improve the correlation and time correlation between features, the data transformation encoder component and the long short-term memory network (LSTM) are introduced to construct a basic neural network model. The experimental datasets are segmented based on the short-time Fourier transform (STFT) spectrogram, and the model is trained using the meta-learning training method. The effectiveness of the modules and training methods described in this study is validated through ablation experiments. The results indicate that the chatter detection model proposed in this paper achieves good detection results on the test set.
Yongliang LU, Jun ZHAO (Jinan, China), Xujie TANG, Shihua ZHANG
12:15 - 12:35 #45178 - 10 A dataspace-driven edge computing and federated learning framework for sensory tooling systems.
A dataspace-driven edge computing and federated learning framework for sensory tooling systems.

As manufacturing becomes increasingly data-driven, sensor data is typically available only locally, with few connected data landscapes. This lack of available, heterogeneous data prevents the development of robust algorithms to investigate machine tool behavior. To overcome this challenge, we propose a cooperative approach that leverages data spaces and compute-to-data. This enables access to heterogeneous data and the subsequent development of robust analysis algorithms without sharing the actual raw data, thereby keeping know-how and intellectual property secure. The article presents an approach in which machine tools from various stakeholders are equipped with identical sensory tool holder systems, that conduct real-time measurements. These measurements are then transmitted via Bluetooth to a stationary transceiver unit and subsequently stored on a local server. The data is made accessible through a data space. To prevent stakeholders from accessing raw data of each other, the deployment of the analysis algorithms is conducted in compute-to-data environments. The approach is illustrated on an exemplary case study, focusing on the flank wear of milling tools and incurred chatter. Thus, this work contributes to the cooperative creation of intelligent machine tools. Future research can build on this approach and explore more industrialized implementations.
Thomas TRAUTNER, Fabian ZINK (Vienna, Austria), Lukas KÜGERL, Lucas GRÄFF, Willi WÜNSCHEL, Friedrich BLEICHER, Matthias WEIGOLD
12:35 - 12:55 #44949 - 11 Neural networks for simulated micro-feature evaluation and classification.
Neural networks for simulated micro-feature evaluation and classification.

In recent years, advanced manufacturing has gained traction, particularly in the microscale industries focused on enhancing material properties and surface functionality. The creation of micro-textures and achieving precise accuracy at the micro-scale are crucial for the performance of modern devices such as sensors and semi-conductors. We are working on creating such micro-dimples with ultrasonic machining using piezoelectric material. To ensure the benefits of these features, surface inspection and quality control are paramount measures taken in manufacturing industries. These industries need to closely monitor the surface texture at the microscale to make corrective adjustments and apply corresponding measures to enhance surface finish. In this paper, a method of facilitating these measures will be presented with the integration of Convolutional Neural Networks (CNNs), specifically GoogleNet and Resnet-50. To pinpoint the most suitable model in the industries, an experimental comparison will take place between both pre-trained neural networks to determine the accuracy, processing speed, and adaptability to changes in the dimple geometry. Various dimple geometries were simulated and trained to test the accuracy and precision of these CNNs. ResNet demonstrated greater stability and consistency, achieving higher accuracy in detecting round and oval shapes, while GoogleNet performed better in detecting straight edges. This multi-stage approach provides a comprehensive assessment of CNN-based micro-texture analysis and introduces an innovative framework for quality control in manufacturing.
Roland BEJJANI (BYBLOS, Lebanon), Al-Labaky CYNTHIA
12:55
12:55-14:00
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L1

LUNCH

14:00
14:00-15:40
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B

PRESENTATIONS SESSION
Hybrid Manufacturing

14:00 - 14:20 #44820 - 12 Enhanced material efficiency in hybrid manufacturing through wire-based DED-LB and non-parallel slicing.
Enhanced material efficiency in hybrid manufacturing through wire-based DED-LB and non-parallel slicing.

Hybrid manufacturing, combining additive and subtractive technologies, can enhance material efficiency over traditional subtractive methods. However, metal powder-based additive manufacturing methods reduce this advantage due to unavoidable powder loss. Additionally, most additive manufacturing processes necessitate the use of support structures to fabricate overhanging geometrical features, further compromising material efficiency and design freedom. This study presents a novel hybrid manufacturing strategy that employs a wire-based Directed Energy Deposition using a laser beam (DED-LB) in combination with an 8-axis robotic system. Central to this approach is a non-parallel slicing method, enabling the fabrication of overhangs without support structures to maximize material efficiency. While compromising on geometric accuracy the DED-LB Process sets itself apart from the more commonly used Powder Bed Fusion (PBF) process, by its ability to vary the deposition rate in a singular layer. The resulting variation in local layer height allows for the fabrication of complex bend structures. First, we give an overview of robot-based hybrid manufacturing and its challenges followed by a description of the experimental setup. The limitations of the system regarding dynamical behaviour as well as positional accuracy and the resulting constraints to the permissible process parameters are determined before the development of al local deposition rate control is discussed. The proposed manufacturing strategy is validated by producing sample parts and comparing nominal to as-built geometries, assessing process stability and reproducibility. Finally, we explore embedding this capability into a hybrid process chain, using a bent tube profile with flanges as a case study to illustrate the advantages and challenges.
Jonas ZARGES (Darmstadt, Germany), Fabian KALTER, Konstantin FEY, Matthias WEIGOLD
14:20 - 14:40 #44835 - 13 Influence of the layer time on the mechanical properties of thin-walled parts produced from modified polycarbonate reinforced with carbon fibres by a pellet extrusion modelling (PEM) process.
Influence of the layer time on the mechanical properties of thin-walled parts produced from modified polycarbonate reinforced with carbon fibres by a pellet extrusion modelling (PEM) process.

Large-format additive manufacturing is a manufacturing technology that enables to produce large-scale parts made from fibre-filled thermoplastic pellets. A kinematic structure as a robot or a portal machine carries the extruder that plasticising polymer granulates and extrudes material layer by layer (PEM). The technology is used in tooling manufacturing process. PEM enables to produce moulds and vacuum fixtures in an effective way in terms of time and material consumption. Final parts have a high durability and stability in comparison with a conventional manufacturing. However, the range of applications is wider and one special application is a production of thin-walled lightweight structures using modified polycarbonate reinforced with carbon fibres. Thin-walled parts produced with PEM technology serves as a core in a production of structural composite parts. The critical process parameter of PEM is a layer time. It is a key technical parameter that affects the bonding of two layers. This relates with final mechanical properties of the part and the correct setting is critical in the case of structural components. This paper presents experimental results showing the effect of layer time on the mechanical properties of the thin-walled part. The experiment includes preparing samples for tensile testing and testing the tensile strength for different layer time settings.
Michal RYTIR (Praha, Czech Republic), Tomas HADRAVA, Petr KOLAR, Tomas HAVLAN, Karel DOUBRAVA, Lukas NOVOTNY, Zdenek POSVAR
14:40 - 15:00 #44841 - 14 Leveraging build orientation to enhance stiffness and modal parameters in LPBF-manufactured components.
Leveraging build orientation to enhance stiffness and modal parameters in LPBF-manufactured components.

The control of crystallographic texture plays a critical role in optimizing the mechanical properties of materials, leading to significant improvements in modal parameters, particularly increased stiffness. This study focuses on how manufacturing process parameters influence texture formation and subsequently affect mechanical behavior. Techniques such as selective laser melting and other additive manufacturing methods allow for precise control of crystal orientations, enabling the design of tailored microstructures. The anisotropy inherent in components manufactured by Laser Powder Bed Fusion (LPBF) presents both challenges and opportunities. Grain alignment along preferred directions enhances stiffness, reducing deformation under dynamic loads. This improvement in rigidity is crucial for applications where vibrational performance must be optimized, particularly in thin-walled and slender parts. Additionally, the study reveals that microstructural refinement through controlled solidification and grain growth contributes to better damping capacity and reduced resonance effects. Although LPBF facilitates complex part designs, post-processing by machining is often necessary to meet surface and dimensional quality requirements. However, the low structural stiffness of LPBF parts can cause significant vibrational instability during machining, especially for flexible structures. To address this challenge, hybrid manufacturing strategies combining additive and subtractive methods are explored to improve both modal properties and machining stability. The main contributions of this work include demonstrating how crystallographic texture control enhances modal parameters by increasing stiffness and vibration performance. For this purpose, samples were manufactured under different process configurations, microstructurally characterized, and various tests were conducted to verify improvements in mechanical properties.Additionally, the study offers practical insights into the integration of process control, microstructural optimization, and hybrid manufacturing to improve the functionality and reliability of high-performance components.
José David PEREZ RUIZ (Bucaramanga, Colombia)
15:00 - 15:20 #44845 - 15 Study of finishing operation for thin-wall structures processed by L-PBF additive manufacturing with Taguchi approach.
Study of finishing operation for thin-wall structures processed by L-PBF additive manufacturing with Taguchi approach.

Additive manufacturing is an innovating process that allows to create complex-shaped part, hollow lattices structures or thin-walled structures. This can be achieved using the minimum of material. However, characteristic topography of Additive Manufacturing (AM) surfaces requires finishing operation to ensure their functionalities. Milling machining is commonly used to enhance surface texture and geometric dimensions since it is a well-known method which showed efficacity for cast and wrought material. Nevertheless, the complexity of the designed part can hinder the machining and make it unstable, especially when the workpiece has low stiffness. This could lead to counterproductivity and deteriorate the surface texture. Most of the articles focus on the machinability of additively manufactured parts whose process parameters were determined beforehand through an optimization. The only variation of machining parameter does not allow to fully define the process/process relationship between Additive Manufacturing (AM) and Milling. This article mainly focuses on the response behavior of thin-walled M300 parts realized by LPB-F and L-DED processes during finishing machining. A L27 Taguchi Design of Experiment focusing both on additive manufacturing process parameters and milling parameters is used to highlight their impact on surface quality, cutting forces and vibrations induced during machining. The study of the S/N ratio is considered to achieve the characteristic responses. The input parameters are laser power (P), scan speed (v), layer thickness (e) from the Volumic Energy Density for the AM process and the cutting speed (V), the feed per tooth (fz), and the cutting depth (ap) for the machining process. The milling machining will be done using hemispherical finish endmill without previous raw cutting and semi-finishing. This article helps to understand the role of the additive and substractive processes in the final behavior of the workpiece during milling machining. A multi-process comparison of LPB-F/machining and L-DED/machining is proposed to highlight the differences induced by the process history of the workpiece during milling machining.
Lucas CHEVAILLER (Tours), Benoit ROSA, Arnaud DUCHOSAL
15:20 - 15:40 Influence of milling parameters under innovative lubrications on cutting forces, surface roughness and temperature for powder DED INCONEL 718. Sylvain ETZOL (PhD student) (Free Paper Speaker, Tours, France)
14:00-15:40
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C

PRESENTATIONS SESSION
Vibration machining

14:00 - 15:40 #44829 - 17 Indirect tooltip frequency response function measurement: an application of surface location error.
Indirect tooltip frequency response function measurement: an application of surface location error.

Milling is a well-established manufacturing process thanks to its accuracy and surface finishing, yet tool vibrations limit these qualities. At the core of many approaches dealing with vibrations the tool-tip frequency response function (FRF) is found allowing the computation of the appropriate cutting conditions for accuracy and stability. The evaluation of the tooltip FRF is often based on experimental modal tests which requires additional sensors to be mounted on the machine tool as well as devices to excite the tool. However, the reliability of these methods is strictly related to the test setup and the expertise of the operator performing the measurement. This paper presents a methodology to evaluate the tool-tip FRF starting from the surface location error (SLE) without requiring additional sensors or experienced operators. The method is based on a frequency domain cutting force model coupled with the SLE measured at different spindle speeds using on-machine measuring probe. The methodology was experimentally tested to check its effectiveness and limitations.
Lorenzo MORELLI, Niccolò GROSSI, Gianni CAMPATELLI, Antonio SCIPPA, Morelli LORENZO (Florence, Italy)
14:20 - 14:40 #44832 - 18 Adaptive tool eccentricity compensation using machine tool feed drives.
Adaptive tool eccentricity compensation using machine tool feed drives.

Mitigating tool eccentricity is key in maintaining a longer tool life, suppressing tool failure and generating a high-quality surface finish in most milling processes. Although automated inspection systems can be used to evaluate eccentricity in the tool-tool holder assembly, they may not fully eliminate it. This is due to the fact that once the tool holder assembly is mounted on the spindle, it can still exhibit residual eccentricity due to the integrity of the overall tool-holder-spindle assembly. Tool eccentricity measurements are typically conducted on the machine, and manual adjustments are then undertaken to remove any residual eccentricity component. As a result, realizing on-machine and automatic tool eccentricity compensation is highly desirable. This paper presents a novel strategy where the machine tool feed drives (axes) are used to automatically compensate for the tool eccentricity. The machine tool axes are used to generate a circular motion on the work table at the spindle’s rotational frequency. Such circular motion introduces an artificial eccentricity vector in tool coordinates, and by adjusting the amplitude and the phase of the circular motion the inherent physical eccentricity can be eliminated. In this proposed work, accelerometers are used to monitor machining vibrations and detect the tool eccentricity component in its power spectrum. Next, an adaptive notch filter (ANSF) is designed to adaptively adjust the phase and amplitude of the circular feed drive motion to automatically minimize the eccentricity component. Efficacy of the proposed strategy is demonstrated in machining experiments where tool eccentricity is eliminated automatically by the feed drive motion during a machining operation.
Seyed Mahmood SHANTIAEEZADE, Levent BOZCU, Suzuki NORIKAZU (Tokyo, Japan), Burak SENCER
14:40 - 15:00 #44933 - 19 State-dependent regenerative stability-constrained reinforcement learning optimization for machining efficiency in robotic milling.
State-dependent regenerative stability-constrained reinforcement learning optimization for machining efficiency in robotic milling.

Enhancing robotic milling efficiency is crucial for boosting productivity, shortening production cycles, and reducing manufacturing costs. While feed and spindle speed are key determinants of efficiency, their planning is hindered by chatter instability. Existing stability constraints overlook state-dependent regenerative mechanisms, where the nonlinear effects of feed further complicate planning. While adjusting the robotic posture can enhance efficiency by improving stability limits, operational constraints like posture smoothness, joint singularity, and reachability significantly exacerbate the planning difficulty. This paper proposes a reinforcement learning-based approach to optimize feed, spindle speed, and robot posture for maximizing efficiency. It employs Gaussian process regression to predict the tool tip’s dynamic at the given posture and uses the state-dependent delay differential equation to rapidly assess stability. Reinforcement learning dynamically optimizes actions using a reward function balancing efficiency, stability, and operability in high dimensional continuous space. The experimental results demonstrate the effectiveness of the proposed method.
Sihao MAO, Yanru JIANG, Songtao YE, Xiaojian ZHANG (Wuhan, China), Sijie YAN, Han DING
15:00 - 15:20 #44984 - 20 Tools for developing 5-axis CNC flank milling machining paths that maintain programmed feed rates.
Tools for developing 5-axis CNC flank milling machining paths that maintain programmed feed rates.

A critical point in 5-axis machining operations is the possibility of maintaining a constant cutting speed and not having it reduced by limitations in the machine kinematics or other factors. This is also especially relevant in material feed operations where a reduction in feed rate can produce errors in the material feed rate. To solve this frequent problem, it is important to know the machine kinematics and the control algorithm of the numerical control axes, as well as the possibility of applying algorithms that work on the feed, accelerations and jerk to achieve the objective. This work presents a series of tools applicable to the machining path to maintain the programmed feed rate value to provide fluid paths.
Ali HASHEMIAN, Gaizka GÓMEZ (Bilbao, Spain), Pablo FERNANDEZ DE LUCIO, Haizea GONZALEZ, Maialen MARTINEZ-AGUIRRE, Michael BARTON, Norberto LOPEZ DE LACALLE
15:20 - 15:40 #45081 - 21 Experimental investigations on speed-dependent characteristics of rotating tool for boring application.
Experimental investigations on speed-dependent characteristics of rotating tool for boring application.

The traditional boring process involves the rotation of the workpiece within a chuck, while a stationary boring bar is employed to enlarge the hole. However, rotating larger workpieces demands excessive power consumption and is challenging to hold. Towards this, a rotary boring bar is employed in which the workpiece remains stationary and the cutting tool rotates while machining. During boring operations, where feed rate and depth of cut are kept constant, rotary boring bar speed variation changes the rotational dynamics of the tool because of speed-dependent factors, such as rotational inertia and centrifugal forces. These factors affect the machining performance adversely. Therefore, it is necessary to address the effects of rotational behavior to improve the machining stability and surface finish. Hence, the main objective of this study is to examine the speed-dependent behavior of the rotary boring process by studying the variation in boring bar speed that affects the machining stability and surface quality. The experiments were conducted through machining trials at various boring bar speeds from 200 rpm to 800 rpm. Experimental observations offered insights into spindle speed optimization for better machining performance. The stability parameters, such as chatter onset, tool deflection, and dynamic stiffness changed. The results benefited productivity by identifying ranges of speed that reduce vibration, minimize tool wear, and provide improved surface finish. The present work has specific implications for precision machining operations where dynamic stability is significant for producing high-quality parts with minimum surface imperfections.
Jaydeep VARUN, Srinivasu D. S. (Chennai, India)
14:00-15:40
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PRESENTATIONS SESSION
Laser Way

14:00 - 14:20 #44923 - 22 Highly dynamic croxy crossed linear rail gantry design.
Highly dynamic croxy crossed linear rail gantry design.

This article presents the design of a laser cutting machine with the capability to achieve high speeds and accelerations for efficient laser blanking. The machine features an innovative crossed linear rail gantry design which minimizes moving masses and enables all four linear motors for XY movements to be attached to the fixed frame. This innovative design allows to reach an acceleration of 6G within a workspace of 2,2 x 1,5m. A mechatronic model, combining finite element simulations with servo control loops, was utilized to optimize the mechanical design, particularly the composite fibre cross beams. The machine prototype has been experimentally validated demonstrating the capacity of this architecture to reach high accelerations.
Xavier BEUDAERT (Elgoibar, Spain), Oier FRANCO, Robin POUL, Matej SULITKA
14:20 - 14:40 #44966 - 23 Fundamentals of active vibration damping via load-side motion feedback in machine tool feed drives.
Fundamentals of active vibration damping via load-side motion feedback in machine tool feed drives.

Mechanical vibrations significantly hinder productivity in manufacturing processes, especially in high-speed laser cutting, where high jerk and acceleration rates are essential to meet demanding productivity targets. This study explores the fundamentals of load-side acceleration feedback through the machine tool feed drive system to enhance the dynamic performance of the cutting point, eliminating the need for external actuators. By utilizing a two-degree-of-freedom model, the effectiveness of various industrial control setpoint architectures is systematically evaluated through detailed time-domain and frequency-domain analyses. The findings identify the optimal control strategy for improving the dynamic behavior at the cutting point.
Unax ZARRAUA, Oier FRANCO DOBARAN (ELGOIBAR, Spain), Xavier BEUDAERT
14:40 - 15:00 #45090 - 25 Process planning for high-speed coil fed laser cutting with two laser heads.
Process planning for high-speed coil fed laser cutting with two laser heads.

Coil fed laser cutting is widely used for mass production in various industries. Using metal coils instead of metal sheets can not only streamline feeding of the stock material into the workspace of laser cutting machines but also give an opportunity to enlarge the size of the coil fed laser cutting machine to a virtually unlimited dimension. Practically, it can be realized by implementing machines designs that can either cut extremely long parts or have several laser cutting head operating simultaneously. In the case of machine designs, in which laser heads operate on the full width of the coil, one laser head is positioned after another laser head and can, therefore, cut away material beforehand. This creates significant challenges for proper process planning. Cutting patterns must be laid off on the moving coil such that it must be enough time for laser heads to process part contours while they pass throughout the workspaces of the laser heads. Moreover, nesting of cutting patterns is expected to minimize scrap raw material. In this paper, a high-speed, high-dynamic laser cutting machine with two laser heads is considered. However, even at very high acceleration rates, non-smooth cutting patterns limit the achievable cutting speed, especially in sharp corners. However, minor corrections of the path using machine learning techniques could smooth those problematic areas and increase the cutting speed while being within the geometrical tolerances of the workpiece. An accurate digital twin of the machine tool was used to automatically detect the critical contours and iteratively test the geometrically optimized paths. Additionally, a nesting algorithm minimizing the scrap material was developed.
Alejandro DELGADILLO (Aachen, Germany), Anton LIAKH, Denys PLAKHOTNIK
15:00 - 15:20 Two stage feedrate optimization using analytical jerk gradients and a time minimizing objective function. Matej SULITKA (Free Paper Speaker, Czech Republic)
15:20 - 15:40 #44967 - Influence of feed drive inertia ratio on machine tool dynamics.
Influence of feed drive inertia ratio on machine tool dynamics.

Sizing the feed drive system is a crucial step during the design and optimization stages for the machine tools builders. Beyond load, speed and positioning requirements, the selection of the drive is heavily influenced by the ratio between the load and drive inertias. In the context of large-scale machine tool applications, where precise positioning of heavy loads is essential, significant inertia mismatches can lead to controllability challenges and vibratory issues that degrade machine performance. This paper investigates the impact of various inertia ratios on dynamic performance at both the feed drive and cutting point levels, utilizing frequency and time domain simulations to provide comprehensive insights.
Xabier AGIRRE, Oier FRANCO DOBARAN (ELGOIBAR, Spain), Xavier BEUDAERT
15:40
15:40-16:00
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CB2

COFFEE BREAK

16:00
16:00-17:20
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A2

PRESENTATIONS SESSION
Distorsion workpiece

16:00 - 16:20 #44742 - 27 Fixture design for machining thin workpieces under uniform bending loads.
Fixture design for machining thin workpieces under uniform bending loads.

Being milling operations some of the most common in industry, one of the main concerns of this manufacturing technology is the tendency of introducing high magnitude tensile residual stresses in the machined surface [1], very harmful against fatigue. To assure a high surface integrity of the workpiece, with compressive residual stresses near the surface, usually postprocessing operations are used, such as deep burnishing and shot peening among others [2]. In this article a different approach is proposed, in which the milling operation is done under an externally applied bending load, leading to easily controllable compressive stresses in the machined surface, beneficial against fatigue. In order to achieve these results, it is needed to perform the milling operation in a volume of material under externally introduced tensile stresses, which are generated in the convex surface of the bent component. This article presents a simple fixture design to efficiently achieve this objective, and the experimental validation of the introduced residual stresses using this method. To introduce uniform bending loads to the workpiece while being machined, the chosen method consists in bending the workpiece against a cylindrical shape. Although this method could be used for different kinds of operations, the scope of this research was limited to the analysis of pocket milling operations in aluminium alloy. In this article, both theoretical bases and experimental results are presented, showing positive results and the introduction of compressive residual stresses in the milling operation using the proposed fixture. References: [1] M. Soori, B. Arezoo. (2022) A Review in Machining-Induced Residual Stress. Journal of New Technology and Materials, volume 12, issue 1, pages 64-83. https://hal.science/hal-03679993/. [2] A. Klumpp, et al. (2014) Mechanical Surface Treatments. Conference: ICSP-12 Goslar, Germany, pages 12-24.
Álvaro SÁINZ DE LA MAZA GARCÍA (Bilbao, Spain), Gonzalo MARTÍNEZ DE PISSON CARUNCHO, Luis Norberto LÓPEZ DE LACALLE MARCAIDE
16:20 - 16:40 #44873 - 28 Residual stress evolution in dry single cutting-edge broaching of Inconel 718: Impact of fillet radius and underlying mechanisms.
Residual stress evolution in dry single cutting-edge broaching of Inconel 718: Impact of fillet radius and underlying mechanisms.

Inconel 718 is a nickel-based superalloy widely used in the aerospace industry for its excellent mechanical properties and high temperature resistance. It is commonly used in critical components such as turbine discs and gas turbine engine blades. Although much research has been carried out on tool wear and performance in the machining of nickel-based superalloys, the specific effects of broaching on surface integrity remain less well explored. In particular, the influence of cutting-edge radius on residual stress generation, material deformation and subsurface properties during broaching has not been thoroughly investigated. The broaching cutting process is achieved by passing multiple cutting edges through the passage of a multi-strand tool. It is known that if one cutting edge causes damage to the integrity of the surface, subsequent cutting edges can replicate or increase the initial damage to the material, so it is imperative to analyse the performance of the cutting edge. This study examines the impact of cutting-edge microgeometry on surface integrity during single-pass dry broaching of Inconel 718 at a relatively high cutting speed of 20 m/min. Cutting edges were prepared using a brushing technique with ceramic fibre brushes to achieve controlled cutting-edge radii. A combination of experimental tests and numerical simulations were used to evaluate the effects of cutting-edge radius and the Rise per Tooth (RPT) on residual stress formation and material response. Residual stresses were evaluated by X-ray diffraction (XRD) and were complemented by Hole drilling tests to measure subsurface stresses. In addition, Vickers microhardness tests were performed to analyse hardness variations in the surface and subsurface layers and scanning electron microscopy (SEM) images were used to investigate the depth of microstructural deformation achieved. The results indicate a strong correlation between edge radius and residual stress distribution, with a critical transition observed around 15 µm. A larger edge radius led to increased microstructural deformation, hardness variations, and higher surface tensile stresses. However, it also contributed to the formation of a beneficial compressive stress layer beneath the tensile zone, potentially enhancing fatigue resistance. Furthermore, the depth of deformation was significantly affected by edge radius variations, demonstrating a direct relationship with surface residual stresses. These findings provide valuable insights for optimizing broaching tool design, improving surface integrity, and enhancing the mechanical performance of aerospace components.
Cristian PÉREZ-SALINAS, José PÉREZ-RUIZ (Bucaramanga, Colombia), Pablo FERNÁNDEZ DE LUCIO, L. Norberto LÓPEZ DE LACALLE
16:40 - 17:00 #44823 - 29 Estimation of hardness and residual stress of machined surfaces using in-process data obtained from turning operations.
Estimation of hardness and residual stress of machined surfaces using in-process data obtained from turning operations.

The surface stress and hardness after cutting affect the fatigue strength and wear resistance of the products. Therefore, it is important to estimate the surface hardness and residual stress after cutting operations. This study proposes a method to estimate the surface hardness and residual stress of carbon steel in turning by using analytical information of the cutting process. The machined surface properties depend on the strain, strain rate, stress and temperature fields in the vicinity of the cutting edge and the workpiece surface during cutting. Therefore, these physical state indices are estimated from the measured cutting force and flank wear width using a three-dimensional cutting model, and the hardness and residual stress are estimated using a linear regression model. The accuracy of the residual stress and hardness estimation was investigated through a series of turning tests where the cutting force,cutting temperature, flank wear width, chip thickness, hardness and residual stress were measured. In addition, the influence of modelling errors in the model-based simulation on the accuracy of hardness and residual stress estimation was analyzed. The experimental results verified that a high coefficient of determination of about 0.8 - 0.9 is achieved in the hardness and residual stress estimation. The high estimation accuracy was approximately achieved by the proposed method regardless of modelling errors in cutting temperature and shear angle. However, non-linearity in the effect of cutting temperature on hardness slightly degraded the accuracy of hardness estimation. This fact indicates the importance of using non-linear modeling for estimation.
Kazunori KOHARA, Yukio TAKAHASHI, Norikazu SUZUKI (Kobe, Japan)
17:00 - 17:20 #44951 - 30 A numerical investigation of the tribological performance of laser-induced chevron micro-textured for cutting tool applications.
A numerical investigation of the tribological performance of laser-induced chevron micro-textured for cutting tool applications.

Micro-texturing of surfaces through laser ablation is a developing technology that aims to improve the tribological properties of surfaces by reducing the friction coefficient and increasing wear resistance during friction-related processes such as cutting operations. Reducing the friction coefficient during cutting-related processes has been focused on in order to enhance the life of the cutting tool itself and of lubricants involved. Laser-induced micro-textures produced on cutting tools can change the tool chip interface contact and friction process, decreasing the friction coefficient by increasing the load-bearing capacity of the fluid and by acting as secondary lubrication reservoirs under lubricated conditions or by reducing the contact area between the tool and the chip under dry friction conditions. While current research has tested the tribological effects of different micro-textures on cutting tool friction performance, further analysis is needed to improve the friction reduction of micro-textured cutting tools. The purpose of this study will be to find optimal micro-texture shapes, which will decrease the friction between the tool and the chip under lubricated conditions. Computational Fluid Dynamic (CFD) simulations will be used in order to test the performance of micro-texture shapes under lubricated friction, which will then be verified through friction experiments of laser micro-textured cutting tools. The proposed micro texture shape, after conducting the needed analysis, will be effective at decreasing the friction coefficient at the tool-chip interface compared with other conventional shapes. The expected micro-texture can be significant in extending the lifespan of cutting tools and lubricants under different cutting process conditions.
Roland BEJJANI (BYBLOS, Lebanon), Marc CHAMOUN
16:00-17:20
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D

PRESENTATIONS SESSION
Sustainability in machining

16:00 - 16:20 #44815 - 31 Numerical method for designing a two-dimensional de laval nozzle for optimization in assisted machining with supercritical CO2.
Numerical method for designing a two-dimensional de laval nozzle for optimization in assisted machining with supercritical CO2.

Recycling aluminium chips is a critical issue in the manufacturing of aeronautical structural parts (with a buy/fly ratio of up to approximately 20). Due to the stringent requirements for part quality and safety standards, cutting fluids are commonly used, polluting the chips and thereby increasing the cost and energy consumption of the remelting process. For certain alloys, such as aluminium-lithium alloy 2050-T84, the chip recycling efficiency is reduced due to high pollution levels. The use of new emerging machining assistance, such as supercritical CO2, could reduce or eliminate the need for cutting fluids and produce clean chips. This technology could also increase tool life and productivity, but its cooling power is still poorly understood. The purpose of this study is to analyze, with the Background Oriented Schlieren (BOS) method, the structure of CO2 jets in liquid and supercritical conditions according to 2D Laval nozzle geometries adapted for insert milling machining. A BOS setup, utilizing a speckled background pattern and a high-speed camera was employed to observe a 2D CO2 free jet in a dedicated test cell. This cell was designed to allow a through-view of the CO2 jet and its expansion across the 2D nozzles. The nozzle sections are calculated with CO2 inlet pressure, inlet temperature, and outlet velocity (evaluated via Mach number) as input parameters. Several nozzle sections will be tested to compare the influence of geometric scale factors and input parameters. Hypotheses will be formulated to calculate the temperature field.
Thomas GOSSET (Cluny), Gérard POULACHON, Frédéric ROSSI, Rachid M'SAOUBI, Sylvie ARSENE
16:20 - 16:40 #44819 - 32 Investigation of cooling efficiency and structural characteristics of supercritical CO2 jets for machining assistance.
Investigation of cooling efficiency and structural characteristics of supercritical CO2 jets for machining assistance.

In a context of safer, more cost-effective, and environmentally friendly machining processes, supercritical carbon dioxide (scCO2) emerges as a promising alternative to conventional cutting fluids, particularly in drilling operations involving hard materials with low thermal conductivity, such as titanium alloys (Ti-6Al-4V). The dual role of scCO2 jet needed in this type of machining assistance has been the focus of interest, where enhancing chip removal through lubrication and improving cooling efficiency underscore its potential to extend tool life and reduce cutting forces. However, a consolidated understanding of the optimal scCO2 jet parameters for drilling and its impact on the tool and the material remains unavailable. Herein the proposed experimental thermal transfer study aims to determine the cooling ability of the jet. It is shown that the dry ice obtained under certain jet conditions only contributes marginally to the cooling effect. In addition, the jet to plate distance emerges as the most influencing parameter on the heat transfer capacity, showing at a certain distance range an unusual behavior, mainly due to the structure of the jet. To investigate this behavior and to better understand the jet’s cooling ability, an in-depth analysis of the jet’s complex structure was carried out using high-speed imaging combined with an optical imaging known as Schlieren. The supersonic structure and parameters were analyzed under varying initial pressures and temperatures in both near and far fields. The obtained images showed the detailed jet structure and highlighted the presence of three different zones within the flow: laminar, transitional then turbulent. Furthermore, the geometrical parameters of the jet were determined and evaluated for different initial conditions showing that the increase in the upstream pressure led to an increase in the overall size of the barrel shock increasing the jet momentum and thus the jet cooling ability, but at a cost of higher mass flow rate and thus CO2 consumption. Due to multiple experimental constraints, it is not possible to measure the jet temperature and other parameters like velocity in the laminar zone using the images obtained in this imaging technique. Consequently, it is necessary to use a numerical model to determine these parameters. After assessing the detailed jet geometrical structure through the previous experiments, and in order to get back to the application in drilling, the future work will focus on the jet injected within the drilling tool and its cooling ability on a hot thin titanium cylinder will be investigated
Maha EL NAHAS (Albi), Thomas POTTIER, Jean-Jacques LETOURNEAU, Yann LANDON
16:40 - 17:00 #44837 - 33 Quantification of the cooling effect of cryogenic cooling supply strategies through temperature measurement with functional tool coatings for turning processes of polypropylene.
Quantification of the cooling effect of cryogenic cooling supply strategies through temperature measurement with functional tool coatings for turning processes of polypropylene.

A current trend towards more sustainable machining can be found in the gradual substitution of lubricants through cryogenic media in the form of liquid carbon dioxide. This strategy has been proven to reduce the wear rate and increase productivity and energy efficiency in the milling of titanium alloys. While various adjustments to the CO2 supply system such as pre-cooling or pressurization are viable, it remains challenging to tailor the cryogenic cooling capacity to the specific requirements of each process. To do so, an approach to quantify this cooling effect by temperature measurements with functional coatings of the cutting insert during turning processes of polypropylene is proposed in this research. The results show that the influence of the nozzle distance to the cutting tool and the nozzle diameter are reduced through an alteration of the CO2 density. The lowest cutting temperatures are achieved with a raise in pressure levels and hence a drastic increase in CO2 flow rate. Furthermore, the liquid CO2 based cutting temperatures are compared to those obtained by cooling with a vortex tube. The utilization of vortex tubes as a cooling strategy shows potential as an alternative for easy-to-cut materials like polypropylene, since the effort for the machine integration as well as operator safety precautions are minimized.
Andreas RÖCKELEIN (Fürth, Germany), Trixi MEIER, Nico HANENKAMP
17:00 - 17:20 #44839 - 34 Novel approach to dosing carbon dioxide based cryogenic minimum quantity lubrication by high-frequency pulsed application.
Novel approach to dosing carbon dioxide based cryogenic minimum quantity lubrication by high-frequency pulsed application.

Carbon dioxide (CO2) based cryogenic minimum quantity lubrication (cMQL) is an innovative approach to facilitate cooling lubrication of cutting processes. While it offers greater sustainability than conventional metalworking fluids, its precise, process-specific dosing can be challenging. This is due to the physical properties of the pressurized CO2, as it already develops its cooling effect in the supply line if expanding there. The paper therefore proposes a novel approach to the dosing of this coolant strategy, which is based on high-frequency pulsed application. By opening and closing a valve in the immediate vicinity of the nozzle at high frequency, a precisely adjustable fraction of the maximum mass flow can be directed to the tool-workpiece interaction zone. By varying the opening and closing period of the valve, the cooling capacity can be adjusted accurately and adapted to the process. In addition, the proposed setup makes it possible to react to the fluctuating input quality of the CO2. This paper examines how accurately the mass flow can be dosed using high-frequency CO2-pulses. It also investigates whether continuous and pulsed cMQL have comparable cooling capacities at the same mass flow rate and to what extend the input quality of the CO2 can be compensated.
Jan SELZAM (Fürth, Germany), Trixi MEIER, Nico HANENKAMP
19:30
19:30-20:15
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CA

CONFERENCE APERITIF AND CONCERT

20:15
20:15-23:30
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CD

CONFERENCE DINNER

Thursday 16 October
Time Hall 2 Room 10 Room 11 Room 12 Room Verlaine
08:30
08:30-08:50
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3D

3D NUMERICAL MODELLING OF RESIDUAL STRESSES INDUCED
IN FINISH TURNING OF A FILLET RADIUS ON A SHAFT MADE OF 15-5PH

Keynote Speaker: Joel RECH (Professor) (Keynote Speaker, Saint-Etienne, France)
08:50
08:50-09:10
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NE

NESSY2M PROJECT
TOWARDS AN OPEN SOURCE PLATFORM DEDICATED TO NUMERICAL SIMULATION OF GEOMETRIC DEFECTS OF MACHINED SURFACES WITH POSSIBLE TOOL/PART DEFORMATION OR VIBRATION

Keynote Speaker: Philippe LORONG (Full Professor) (Keynote Speaker, Paris, France)
09:10
09:10-09:30
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RV

REVIEW OF MANUFACTURING’21 ACTIVITIES IN CHIP FORMATION

Keynote Speaker: Vincent WAGNER (Full Professor) (Keynote Speaker, Tarbes, France)
09:30
09:30-09:50
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CF1

VIBRATIONS IMPACT DURING MACHINING

Keynote Speaker: Xavier BEUDAERT (Head of the Dynamics and Control department) (Keynote Speaker, Elgoibar, Spain)
10:10
10:10-10:30
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AI

AI APPLICATIONS IN MACHINING

Keynote Speaker: Dominique KNITTEL (Prof.) (Keynote Speaker, Metz, France)
10:30
10:30-10:50
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IN

INFORMATION ABOUT THE UPCOMING HSM CONFERENCE

10:50
10:50-11:20
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CB3

COFFEE BREAK

11:20
11:20-12:40
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B2

PRESENTATIONS SESSION
Grinding and abrasive processes

11:20 - 11:40 #44964 - 37 Material removal mechanism of continuous fiber reinforced metal matrix composites during high-speed grinding with single CBN grain.
Material removal mechanism of continuous fiber reinforced metal matrix composites during high-speed grinding with single CBN grain.

Continuous fiber-reinforced metal matrix composites (CFMMCs) show great potential in aerospace industry due to their high specific strength, excellent high-temperature resistance, improved fatigue performance, and lightweight properties. Grinding plays a pivotal role in machining difficult-to-cut materials, including ceramic composites and metal matrix composites. However, the process often results in severe surface defects, such as matrix smearing, fiber fragmentation, and delamination, due to the high toughness of the metal matrix, the high hardness and brittleness of reinforcing fibers, and the inherent anisotropy and heterogeneity of composites. This study employs high-speed grinding with single-grain abrasives to process SiCf/TC17 composites, aiming to improve the removal of matrix and fibers. Furthermore, this study investigates the coupled removal mechanisms of the matrix and fibers at various fiber grinding orientations, as well as the effects of grinding speed and maximum undeformed chip thickness (UCT) on material removal behaviors. Results show that fiber properties significantly influence the removal mechanism more than grinding direction. Cracks in fibers propagate perpendicularly to the tungsten core or radially. Increasing grinding speed from 30 m/s to 120 m/s at a UCT of 0.3 μm reduces matrix smearing and plastic flow traces, while high-speed grinding effectively mitigates large-scale fiber fragmentation. At 80 m/s, reducing UCT from 0.8 μm to 0.1 μm significantly enhances fiber removal quality by transitioning from large-scale fragmentation or fracture to micro-fragmentation, thereby substantially reducing matrix smearing defects on the machined surface.
Biao ZHAO (Nanjing, China), Wenfeng DING
11:40 - 12:00 #44985 - 36 Multi-sensor monitoring of wheel wear during CBN grinding of crankshaft steel.
Multi-sensor monitoring of wheel wear during CBN grinding of crankshaft steel.

Monitoring wheel wear during grinding plays a vital role in optimising the process regarding dressing-interval efficiency, cutting conditions as well as workpiece surface integrity. This research monitors wheel wear during grinding of a through-hardened micro-alloyed C38 steel following a multi-sensor approach, where a dynamometer and acoustic emission (AE) sensor are employed to monitor the grinding forces and AE signals. A series of grinding tests were conducted to analyse differences in the force and AE measurements under varying grinding aggressiveness and wheel micro-topographies (“wheel sharpness”). To test different levels of wheel sharpness, dressing with a rotary diamond dressing tool was employed. The acquired data were analysed to establish correlations between sensor outputs and wheel state, enabling the identification of features sensitive to changes in wheel micro-topography due to wear. The force measurements were analysed in the time domain, while the AE signals were transformed to the time-frequency domain using the Hilbert-Huang transform. An increasingly dull wheel leads to higher grinding forces and increasing instantaneous energies of the Intrinsic Mode Functions (IMFs) after empirical mode decomposition of the AE signals for all investigated grinding conditions. Further, wheel wear tests were conducted for a larger material removal volume to monitor the signal progression as wheel wear advances. The results also show an increase in the forces and the instantaneous energy of the IMFs as wear progresses. These findings contribute to the development of intelligent multi-sensor monitoring systems for grinding operations, ultimately aiming at optimising dressing cycles and enhancing productivity.
Charlie SALAME (Gothenburg, Sweden), Philipp HOIER, Peter KRAJNIK, Amir MALAKIZADI
12:00 - 12:20 #44838 - 35 Influence of spatial engagement conditions on workpiece temperature in grinding of unidirectional CFRP.
Influence of spatial engagement conditions on workpiece temperature in grinding of unidirectional CFRP.

Carbon Fibre Reinforced Polymers (CFRP) are favoured for their high strength to weight ratio, excellent directional mechanical and thermal properties, and the ability to be optimized in the direction of stress or heat flow. These properties make it ideal for power transmission applications. Heating of the machined surface during grinding can lead to reduced workpiece quality, particularly if the glass transition temperature of the matrix is exceeded. The selection of tool-material, process parameters and cooling strategy significantly influences heat flow from the region of tool-workpiece interaction and changes in the workpiece temperature. Machining unidirectional CFRP is challenging due to its anisotropic behavior, resulting in different machining temperatures for identical parameters with different fibre orientations. A universal process-independent model describing the spatial engagement conditions during oblique cutting of unidirectional CFRP was used. The model introduces the spatial fibre cutting angle θ0 and the spatial engagement angle φ0. Using this description, an experimental setup for investigating the workpiece surface temperature of CFRP for all possible engagement conditions was developed. The actual workpiece surface temperature at the cutting surface was calculated using values measured in the proximity of it and an analytical model which considers the fibre orientation of the CFRP. In this paper, the machining temperature is determined for all possible spatial engagement conditions during the machining of CFRP using thermographic camera and thermocouples. Furthermore, the influence of the cutting material in the cases of corundum and diamond is analyzed as well as the influence of the cutting speed.
Alexander BROUSCHKIN (Hamburg, Germany), Ganna SHCHEGEL, Carsten MÖLLER, Jan Hendrik DEGE
12:20 - 12:40 #44962 - A novel predictive model for grinding force and removal depth in ABFW grinding of Ti-6Al-4V with eccentricity effects.
A novel predictive model for grinding force and removal depth in ABFW grinding of Ti-6Al-4V with eccentricity effects.

Abrasive belt flap wheel (ABFW) has been widely applied in the grinding and polishing of aero-engine components. However, due to the eccentricity effect and flexible characteristics of ABFW, as well as the plastic behavior of Ti-6Al-4V, it is challenging to determine grinding force and removal depth during actual machining processes. To address these problems, an innovative predictive model for grinding force and removal depth considering eccentricity is established. We first analyze the coupling relationship between ABFW's dynamic geometric characteristics and grinding force. Subsequently, numerical simulation is conducted to reveal the nonlinear influence of eccentricity on stress distribution in the contact zone and removal depth. Experimental results demonstrated that as the eccentricity increased from 0.12 mm to 0.2 mm, both normal grinding force and removal depth exhibited irregular increasing trends. The maximum error between model prediction and actual measurement is 12.3%. This study provides a theoretical foundation for optimizing process parameters in ABFW grinding of Ti-6Al-4V.
Chen KEYAN (Wuhan, China), Zhang XIAOJIAN
11:20-12:40
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H

PRESENTATIONS SESSION
Machining

11:20 - 11:40 #44840 - 38 Numerical investigation of tool wear effects on process quantities during turnning of AISI 4140.
Numerical investigation of tool wear effects on process quantities during turnning of AISI 4140.

Manufacturing a specific pre-defined residual stress state that meets the needed functional properties of a part is promoted by understanding correlations of process quantities, e.g. forces and heat fluxes, and internal material loads, e.g. strains and temperatures during cutting. For this purpose, a chip formation model is proposed utilizing the Coupled-Eulerian-Lagrangian (CEL) finite element method. Simulation results are compared to orthogonal cutting experiments for validation. Moreover, an advancing tool wear state is investigated regarding the above-mentioned correlations by considering different flank wear land widths. Finally, the simulated internal material loads are correlated with the resulting residual stress.
Arold KENFACK, Lars LANGENHORST (Bremen, Germany), Jens SÖLTER, Andreas FISCHER, Bernhard KARPUSCHEWSKI, Arold KENFACK
11:40 - 12:00 #44843 - 39 Analysis of the friction and wear mechanisms at the tool-workpiece contact under extreme contacts loading and high sliding speeds.
Analysis of the friction and wear mechanisms at the tool-workpiece contact under extreme contacts loading and high sliding speeds.

Friction and wear are the most common industrial problems that frequently lead to the degradation of tools (tooling) and the quality of parts produced by manufacturing processes such as machining. Therefore, understanding the physical phenomena that occur at the tool-chip and tool-workpiece contacts is essential for optimizing the design of mechanical components and enhancing their performance. This work aims to study the friction and wear behavior of a titanium alloy and tungsten carbide materials over a wide range of sliding speeds and pressures, representing the extreme contact loading of the tool-workpiece contact in high-speed machining. To study the effect of the sliding speed ranging from 8 mm/s to 60 m/s, and contact pressures from 15 MPa to 400 MPa, two experimental setups have been used. A “pin-on-disk” setup for low and middle sliding velocities (quasi static tests). An innovative tribometer configuration for high sliding speeds examining the impact of projectiles on a stationary sample. For both experimental tests, the tool-workpiece couple Ti-6Al-4V/WC-Co was adopted. This study has been accompanied by the measurement of the frictional forces, friction coefficient and pin wear. All tests are followed by a deep characterization of the damaged surfaces using a high-resolution micrographs and 3D tribological topographies analysis.
Najwa HATERBOUCH (METZ), Hamid MAKICH, Andrea CAPPELLA, Houssemeddine BEN BOUBAKER, Mohammed NOUARI
12:00 - 12:20 #45121 - 40 Simulation-based analysis of tool wear progression and mechanisms in titanium alloy machining.
Simulation-based analysis of tool wear progression and mechanisms in titanium alloy machining.

This study presents a simulation-based approach for analyzing tool wear progression in Ti6Al4V machining using an in-house developed hybrid Smoothed Particle Hydrodynamics-Finite Element Method solver. Within the framework of two-dimensional chip formation simulation, wear algorithms incorporating different models, such as the Usui and diffusive wear models, are integrated at the end of each time increment to predict wear progression based on tool-chip and tool-workpiece contact states. Key wear indicators, including crater depth and flank wear land width, along with scanning electron microscopy analysis of worn tool surfaces, are examined to evaluate the models’ effectiveness in describing rake and flank face wear and to gain further insights into the underlying wear mechanisms. Despite the predominance of diffusion-accelerated attritious wear in titanium alloy machining, simulation results indicate that the Usui model effectively captures critical wear characteristics over a broad range of cutting speeds and is recommended for wear modeling in Ti6Al4V cutting. Additionally, a new calibration method for wear models is proposed, which accounts for the relationship between relative wear rates at different cutting speeds and the Arrhenius law coefficient.
Nanyuan ZHANG (Zurich, Switzerland), Fabian KNEUBÜHLER, Hagen KLIPPEL, Konrad WEGENER
12:20 - 12:40 #45013 - 41 Tool wear investigation of coated cemented carbide inserts during interrupted turning of nodular cast iron.
Tool wear investigation of coated cemented carbide inserts during interrupted turning of nodular cast iron.

This study investigates the wear mechanisms for two different cemented carbide grades during intermittent turning of nodular cast iron. Metal cutting tests with cutting force measurements were performed on cast workpieces with axially oriented grooves which introduce intermittency during cutting. The cutting tests included different cutting conditions in addition to the variation of cutting tool grades. An in-depth analysis of worn tools as well as the workpiece material was conducted to reveal the dominant wear mechanisms under the employed cutting conditions. To achieve this, the tools were examined using advanced characterization methods including scanning electron microscopy (SEM) with energy dispersive x-ray spectography (EDS) and electron backscatter diffraction (EBSD). The workpiece was also characterized using the same techniques, combined with a thorough image analysis, to determine the size, distribution, and morphology of graphite particles as well as amount and type of non-metallic inclusions present in the workpiece material. The workpiece material contains a significant amount of abrasive non-metallic inclusions, typically triggering the wear by abrasion and thus limiting the tool-life. The results show variations in wear between the different tool grades, which was most noticeable at higher cutting speeds.
Daniel ANDERSSON (Gothenburg, Sweden), Amir MALAKIZADI
11:20-12:40
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M2

PRESENTATIONS SESSION
Sustainability in manufacturing

11:20 - 11:40 #44762 - 42 Study on the load profile characteristics of machine tools in machining operations.
Study on the load profile characteristics of machine tools in machining operations.

Due to rising costs and the need for a more sustainable use of resources, there is an increasing focus on energy use in industrial production. As a result, energy-related data, for example from machine tools, is increasingly being collected. In addition to information for the energy evaluation of individual systems and processes, load profiles of machine tools offer further opportunities for process monitoring, such as tracking of production lots. As sensors for electrical power monitoring can be retrofitted without interfering with the process or the control of the system, load profiles offer a cost-effective data source for data mining and machine learning applications. In order to support the generalisability of such applications, this paper describes the load profiles of machine tools and presents an overview on characteristics and the variety of load profiles of turning, grinding and milling machines in industrial use cases. Load profiles of 25 machine tools from machinery and automotive production were analysed with regard to statistical characteristics during machining cycles. In particular, typical value ranges and statistical figures of load profiles are presented and differences between turning, grinding and milling machines and the influence of the sampling rate of the time series are highlighted.
Andreas WÄCHTER (Darmstadt, Germany), Ivan UZUNOV, Matthias WEIGOLD
11:40 - 12:00 #44826 - 43 Automated execution of Energy-Aware Production Schedules based on real industrial process and order data.
Automated execution of Energy-Aware Production Schedules based on real industrial process and order data.

The integration of renewable energy sources into electricity grids has had a considerable impact on energy markets, resulting in increased volatility in electricity prices. In 2023, the share of renewable energies in electricity generation exceeded 50% for the first time, highlighting the growing need for industrial energy flexibility in the coming years. Manufacturing companies' ability to dynamically adjust their energy consumption in response to fluctuating energy supply presents an opportunity to reduce energy costs while simultaneously contributing to grid stability. This study proposes an advanced approach for the automated execution of production jobs within existing Energy-Aware Production Scheduling (EAPS) architectures, thereby enabling the practical implementation in real production environments. To achieve this, an execution service was developed to enhance the level of automation within an established EAPS framework. The proposed architecture integrates an OPC UA interface, enabling the seamless execution of energy-aware production schedules in a real industrial environment. The functionality of the extended EAPS architecture was demonstrated using real process and order data from a medium-sized manufacturing enterprise. Initially, the electrical power consumption of production machines was measured, and operational states were classified to define operation modes for the machine models. Subsequently, these machine models were integrated into a cyber-physical production system, and the multi-objective optimization problem was formulated with the objective criteria of minimising makespan, energy costs, and peak load. The experimental results obtained from a simulation environment demonstrated the effectiveness of the final architecture, achieving a 15% reduction in energy costs when compared to the Shortest Processing Time (SPT) dispatching rule. Furthermore, the simulations of the system's integration with four OPC UA servers confirmed stable connectivity without errors. The findings of this study highlight the potential of the enhanced EAPS architecture to enable automated job execution in production systems, thereby advancing industrial energy flexibility and sustainability.
Jerome STOCK (Darmstadt, Germany), Andreas CLEMENT, Daniel FUHRLÄNDER-VÖLKER, Matthias WEIGOLD
12:00 - 12:20 #44834 - 44 Data Analysis for Energy-Efficiency in Turning and MADS agent system solution.
Data Analysis for Energy-Efficiency in Turning and MADS agent system solution.

In an era where industries are increasingly prioritizing sustainability and efficiency, optimizing manufacturing processes is mandatory. Among these processes, lathe operations are widely used in industry and energy-consumer. This research investigates the monitoring of a turning process, focusing on real-time data analysis with the final aim of achieving a more sustainable and energy efficient machining process. Using an integrated agent framework for monitoring of machining outputs, the machining parameters such as spindle speed, feed rate and depth of cut are optimized. A Multi-Agent Distributed System (MADS) is created and implemented for real-time data acquisition, filtering, storage and visualisation. Comprehensive analysis of energy consumption data during cutting intervals has identified energy distribution patterns and inefficiencies. Alongside them with insights into the progression of tool wear, made it possible to identify consumption related only to the cutting operations, in order to define predictive maintenance strategies and thereby reducing operational downtime. The results are contextualised with KPIs that provide information on process optimisation, including recommendations on energy saving parameters and cost reduction opportunities, enhancing decision-making in machining operations.
Maria Carolina VAIENTI, Anna Carla ARAUJO (Toulouse), Guillaume COHEN, Paolo BOSETTI
12:40
12:40-14:00
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L2

LUNCH

14:00
14:00-15:40
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B3

PRESENTATIONS SESSION
Sustainability machining processes and Machining

14:00 - 14:20 #44844 - 46 Experimental investigation of cryogenic internal cooling with comparative analysis for different spindle concepts in machining.
Experimental investigation of cryogenic internal cooling with comparative analysis for different spindle concepts in machining.

The increasing demand for workpieces made from difficult-to-machine materials and for high performance machining parameters, as well as stricter environmental requirements, are driving the machining industry's needs for alternative cooling lubrication strategies. Cryogenic cooling is therefore an innovative approach to improve process performance and sustainability. For example, liquid CO2 (LCO2) can be used as a cryogenic medium for process cooling, with the option of cryogenic minimum quantity lubrication (cMQL). As part of this research, the effects of the internal supply of LCO2 through the spindle on the cooling capacity and on the spindle itself are investigated in a test setup. Before the LCO2 enters the spindle, the LCO2 supplied can be stabilized in its density by adapting the LCO2 pre-cooling temperature to ensure the highest possible constant cooling capacity and adaptive control of the cooling capacity through the spindle. The main tests focus on the filling and evacuation of the spindle with the cryogenic medium at the start and end of the machining process or during tool changes. In addition to the times required for filling and evacuation, the main research criteria are the monitoring of the spindle temperature at the spindle inlet and outlet. Low spindle temperature due to expansion of the LCO2in the spindle can be avoided by flushing with gaseous CO2. The investigations of spindle temperatures and filling and evacuation times compare both a one-channel and a two-channel spindle concept, as well as the orientations of the machine tool's main spindle in a horizontal or vertical design.
Trixi MEIER (Fürth, Germany), Johannes STIMPFIG, Nico HANENKAMP
14:20 - 14:40 #45058 - 47 Impact of cryogenic milling on tool life and surface integrity.
Impact of cryogenic milling on tool life and surface integrity.

The machining of titanium alloys generates significant heat, increasing the temperature in the cutting zone. These high temperature levels accelerate tool wear and result in poor surface integrity. To overcome this issue, flood cooling is the main used technique during the machining process. However, this technique not only has limited cooling effectiveness but also pollutes the environment and harms operators' health. Cryogenic assistance using liquid (LCO2) or supercritical (ScCO2) carbon dioxide has emerged as an alternative. This study aims to evaluate the effect of different cooling/lubrication techniques (emulsion, LCO2, ScCO2, LCO2+MQL, MQL, etc) on tool life, tool wear and surface integrity during the milling of Ti-6Al-4V titanium alloy. The findings reveal that employing cryogenic assistance with LCO2 and ScCO2 enhances tool life by factors of 3 and 4.5, respectively, in comparison to flood cooling during milling. Additionally, using the cryogenic fluids improves the surface integrity by decreasing mean surface roughness (Ra) and increasing the compressive residual stresses in the machined surface compared to flood cooling. These results highlight the significant influence of lubrication strategy on tool life and surface quality. Cryogenic cooling appears to be a promising alternative for improving the machinability of titanium alloys.
Achraf FERSI (ANGERS), Yessine AYED, Bruno LAVISSE, Guenael GERMAIN
14:40 - 15:00 #45133 - 48 Performance assessment of tungsten carbide cutting tools in cryogenic machinig of TI6AL4V.
Performance assessment of tungsten carbide cutting tools in cryogenic machinig of TI6AL4V.

The machining of titanium alloys such as Ti6Al4V is challenging, mainly because of their low thermal conductivity and high resistance at elevated temperatures. The heat concentration in the cutting zone tends to generate high tool wear rates and short tool life. Besides, the cutting fluids traditionally used for cooling and lubrication in machining industry have raised concerns related to environmental, safety and economic issues. Cryogenic machining is a promising technique for the future of manufacturing industry, because it has the potential to minimize tool wear and decrease the dependence on cutting fluids made from mineral oils. However, the wear behavior of traditional tungsten carbide (WC) cutting tools in cryogenic machining is not yet completely understood, and the influence of carbide grain size and Co content on tool performance in such environments remains poorly explored. In this context, the objective of this work is to experimentally investigate the performance of WC cutting tools in cryogenic machining of Ti6Al4V. The turning inserts used in the machining tests have varying grain sizes and varying contents of Co. For each machining experiment, tool life, cutting forces and wear mechanisms are investigated. The results suggest that cryogenic machining with liquid nitrogen (LN2) significantly extends tool life in comparison with conventional cutting fluid. Besides, adhesion of titanium is the most frequent wear mechanism on WC tools, for both conventional and cryogenic lubrication.
Gabriel DE PAIVA SILVA (Angers), Yessine AYED, Bruno LAVISSE, Guénaël GERMAIN
15:00 - 15:20 #44822 - 52 Force estimation model and parameter identification in end milling process with corner edge damage.
Force estimation model and parameter identification in end milling process with corner edge damage.

This study presents a novel milling force model and its parameter identification method that considers the corner wear of end mills. Identification of the appropriate model parameters in the cutting process is essential to achieve highly accurate cutting simulations that are effective for the process optimization. During end milling, tool damage deteriorates not only the side cutting edge geometry but also the corner cutting edge as the cutting distance increases. The conventional model does not consider the effect of local corner edge damage on the cutting force. However, the cutting process at the damaged corner edge significantly degrades the accuracy of the cutting force estimation. Therefore, we proposed a model and its parameter identification method considering the corner edge damage. We compared the averaging method and the discrete method for parameter identification. The averaging method deals with the averaged force data, and is therefore robust to the measurement noise. The discrete method implements model-based inverse analysis applied to time-history information measured during machining. The tool life test verified that the corner damage modelling significantly improves the force estimation accuracy. In addition, the performances of the parameter identification by the averaging method and the discrete method are compared. Experimental investigations clarified that the higher identification accuracy is achieved by the discrete method compared to the averaging method. In addition, the proposed discrete method realizes the tool eccentricity identification with less cutting data. The proposed approach is expected to be available for highly accurate prediction of chatter stability with localized tool wear.
Koki MATSUBARA, Norikazu SUZUKI (Kobe, Japan)
15:20 - 15:40 #44924 - 53 Experimental burr analysis for Ti-6AL-4V drilling application.
Experimental burr analysis for Ti-6AL-4V drilling application.

To improve the performance of structural assemblies, aircraft manufacturers are striving to implement a one-way assembly strategy that eliminates the need for disassembly operations to clean and deburr the machined surface. Implementing this innovative strategy represents a major industrial challenge, as it involves resolving a number of technical issues, including chip evacuation and the management of burr formation at stack interfaces. More specifically, it is therefore essential to monitor the size of burrs, as they can have a negative impact on the fatigue strength of assemblies. Despite the extensive research conducted on the burr process formation, the underlying thermo-mechanical mechanisms remain poorly understood. For example, the effect of tool wear on thermal phenomena occurring during the cutting process remains difficult to model by numerical simulation. For Finite Element (FE) simulation, it is also still difficult to take into account the evolution of the cutting edge radius induced by wear. Yet this phenomenon has a significant effect on cutting forces and thermal conditions during the drilling process. Experimental analysis therefore remains essential for an in-depth understanding of burr formation and process degradation. This paper presents an interrupted experimental design to investigate the burr formation during the drilling process of Ti-6Al-4V alloy. The tests are conducted on different drilling tools to identify the effect of the tool geometry on the burr. During the drilling tests, the cutting forces and thermal evolution at the exit face of the hole are measured. Thermal measurement using a thermal imaging camera enables us to analyze the distribution of heat fields at the tool tip as a function of tool geometry and cutting edge wear. This makes it possible to establish a correlation between the geometry of the burr and the significant increase in cutting forces and thermal temperature. In addition, metallographic analyses are carried out to examine the alteration of the microstructure near the surface of the hole. These tests are also used to assess the extent of the thermomechanically-affected zone. The extent and severity of microstructure changes near the surface of the hole is essential information, as it can have an impact on the fatigue performance of the assembly after the riveting process.
Benoit DEBARD, Pierre-André REY, Mehdi CHERIF (Bordeaux)
14:00-15:40
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C2

PRESENTATIONS SESSION
Vibration machining

14:00 - 14:20 #45080 - 48 A hybrid approach for optimal and compact design of a cost-effective magnetic actuator for industrial.
A hybrid approach for optimal and compact design of a cost-effective magnetic actuator for industrial.

Long-cutting tools are used for internal turning operations, which are subjected to chatter due to the high L/D ratio. For stable machining, chatter must be eliminated by introducing passive or active damping. Many attempts have been reported that employ various actuators with mechanisms, such as hydraulic, piezoelectric, magneto-strictive, electro-magnetic etc. to introduce active damping. Among these mechanisms, electromagnetic actuators are less costly, easy to manufacture, and have a higher working bandwidth. However, active damped assembly with magnetic actuators becomes complex and bulky. Therefore, the size of the actuator must be reduced to increase its industrial adaptiveness. In this study, the existing magnetic actuator (Lu et al, 2014) is reduced in size by changing the material of the stator and armature from somaloy to silicon steel and Nickel Iron. Furthermore, the proposed optimization approach identifies a suitable reduced design configuration of the magnetic actuator by considering the force and torque generated as objectives. The main aim is to identify the reduced design configuration that produces the same amount of force and torque as the reference actuator. The proposed approach employs FEA simulations to predict the force and torque for the given configuration of the magnetic actuator by the optimization module.
Rakesh VERMA, Srinivasu D. S. (Chennai, India)
14:20 - 14:40 #45075 - 49 Early Chatter Detection through Real-Time Supervision and Time-Domain Simulation-Based Indicators.
Early Chatter Detection through Real-Time Supervision and Time-Domain Simulation-Based Indicators.

The phenomenon of chatter in machining operations is characterized by self-excited vibrations that severely compromise product quality and manufacturing efficiency. Previous research has identified indicators to recognize chatter once established, but early detection remains a challenge. Identifying chatter at its onset helps prevent surface deterioration, reduce tool wear, and protect the structural integrity of machined parts, extending machine lifespan and improving process profitability. Real-time monitoring of dynamic system stability is essential for early chatter detection, allowing proactive control and intervention before excessive vibrations develop. This study explores real-time supervision strategies and early detection criteria to enhance process stability and efficiency in a turning context. For chatter detection, the process includes simulating tool-workpiece interactions, analyzing signals in time, frequency, and time-frequency domains, selecting critical indicators, and making threshold-based decisions. This research employs time-domain simulations to assess indicators' effectiveness in detecting chatter at its earliest stages, ensuring rapid response mechanisms in manufacturing environments. This paper bridges the gap by identifying and validating indicators derived from temporal signal analysis through simulated machining processes. A comparative analysis with other detection criteria evaluates their robustness and real-time applicability. Results demonstrate that temporal indicators effectively track stability lobe diagrams (SLD) in real-time, making them valuable for continuous supervision of machining stability. Additionally, a comparison between reconstructed cases from literature and the obtained SLD benchmarks the relevance of these indicators for real-time SLD prediction.
Enrique MIRELES HERNANDEZ, Mikhail GUSKOV (Paris), Philippe LORONG, Théo DORLIN, Habib KARAOUNI
14:00 - 14:20 #45126 - 50 On the dependency of the extent of multiple solution zone around stability lobes on cutting law nonlinearity.
On the dependency of the extent of multiple solution zone around stability lobes on cutting law nonlinearity.

In machining vibrations analyzes, regenerative chatter stability boundaries aka stability lobes are known to be often accompanied by a multiple solution zone in process parameters space. In that zone the stable steady response coexists with a finite-amplitude oscillatory solution preceding cut interruption. Exploration of the oscillatory behavior requires accounting for finite nominal cut thickness and the condition of the tool exit from cut. In the present work we explore these conditions via a harmonic balancing framework, bringing forward the dependency of the extent of the unstable post-critical chatter domain on the cutting law nonlinearity.
Mikhail GUSKOV (Paris)
14:20 - 14:40 #44868 - 51 The impact of proportional gain in position controller on tool wear and vibration in milling processes.
The impact of proportional gain in position controller on tool wear and vibration in milling processes.

In modern milling processes, cascaded position control systems enhance the machine tool's performance in terms of precision, response speed, and stability through multi-layer control loops. The position control loop, as the outermost loop in this framework, is of critical importance because it primarily ensures that the movement of the workpiece or the tool corresponds to the desired positions and tool path. This study investigates the impact of proportional gain in the position controller on tool wear and vibration characteristics in milling. By adhering to the principle of a single variable approach, only the gain size is varied while other machining parameters remain constant. After measuring and recording tool wear and acceleration signals throughout the process, the vibration signals are processed by utilizing three distinct methodologies to identify suitable parameters that characterize the relationship between gain, tool wear and vibration. The findings indicate that the vibration energy best reflects the effect of the position control gain on tool wear and vibration. Moreover, reducing the proportional gain in the position controller can reduce vibration during machining process 10% - 13% and extend tool life by 26% -32%.
Kai ZHANG (Fürth, Germany), Nico HANENKAMP
14:00-15:40
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J2

PRESENTATIONS SESSION
Modeling machine

14:00 - 14:20 #44825 - 49 Case study: the influence of machine tool condition changes on measurement accuracy using a workpiece probe.
Case study: the influence of machine tool condition changes on measurement accuracy using a workpiece probe.

Measuring workpieces directly on machine tools—On Machine Measurement (OMM) using a workpiece probe—is a significant tool for quality control and manufacturing process optimization. Practice shows that the accuracy of measurements using workpiece probes depends on several factors.The first factor is the condition of the machine tool itself, which is primarily influenced by its geometric accuracy, static stiffness, and thermal stability. The second factor is the workpiece probe itself, including adherence to the calibration procedure and the type of its construction. The calibration and condition of the workpiece probe play a crucial role in measurement accuracy and repeatability.This study will examine the impact of positioning accuracy and repeatability, as defined by ISO 230-2:2014, on the capability of the measurement system assessed according to ISO 22514-7:2021 and probe accuracy according to ISO 230-10:2022. Additionally, it will analyze the influence of measurement strategy settings according to ISO 230-2:2014 and the placement of the test workpiece within the machine's working space.The experimental part of the study is based on measuring the same test workpiece in different conditions of a three-axis vertical CNC milling machine. The measurement results obtained on the CNC machine tool will be compared with measurements taken on a coordinate measuring machine (CMM).The study results should provide valuable insights for manufacturing practice, enabling more efficient use of OMM and improving the quality control of machined parts directly on machine tools
Tomas MAREK (Brno, Czech Republic), Andrej POTANKO
14:20 - 14:40 #45144 - 50 High-speed ultrashort laser processing: recent advances and future prospects.
High-speed ultrashort laser processing: recent advances and future prospects.

Ultrashort pulse (USP) laser processing has revolutionized precision micromachining due to its ability to deliver high-intensity pulses with minimal thermal effects, enabling high-precision material removal. However, achieving high productivity with USP lasers presents significant challenges. The inherently low average power of USP lasers and their limited pulse energy necessitate trade-offs between processing speed and quality. Traditional single-beam scanning methods struggle to fully utilize high-repetition-rate lasers due to limitations in beam delivery and material interaction time, leading to throughput constraints. To overcome these limitations, advanced beam delivery strategies such as multibeam processing and high-speed scanning systems have been developed. Multibeam approaches, including beam splitting and parallel processing, significantly increase material removal rates by simultaneously engaging multiple spots on the workpiece. This technique optimizes laser utilization, enhancing throughput without compromising precision. Additionally, polygon scanning technology provides an effective solution for high-speed laser beam steering, offering rapid and precise beam deflection across large processing areas. With scanning speeds exceeding conventional galvanometric systems, polygon scanners ensure high-throughput processing while maintaining accuracy. By combining ultrafast lasers with optimized beam delivery solutions, industrial applications such as high-speed drilling, precision structuring, and functional surface texturing can achieve unprecedented productivity levels. These advancements make USP laser processing a viable alternative for large-scale manufacturing, bridging the gap between precision and speed. In addition to a broad overview of the current status of these technologies, Tekniker will show the advances made in different industrial applications. In particular, it will show (i) the high-speed texturing of metal surfaces using one and two-axis polygonal scanners and (ii) the design and manufacture of a multi-beam head, its integration with a high-power femtosecond laser and its application to high-speed micro-drilling in aeronautical applications. Finally, an overview will be given on the future state of these technologies and the expected impact on the industry. Future developments in beam shaping, adaptive optics, and high-power ultrafast laser sources will further enhance the potential of high-speed USP laser processing, paving the way for its widespread adoption in industrial manufacturing.
Eva RODRIGUEZ (Eibar, Spain), Roberto OCAÑA, Jon ETXARRI, David GOMEZ, Julen MOLINUEVO
14:40 - 15:00 Impact of high angular resolution on tool geometry assessment in an on-machine tool presetting system. Amrozia SHAHEEN (Technology Manager) (Free Paper Speaker, Billund Denmark, Denmark)
15:40
15:40-16:00
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CB4

COFFEE BREAK