Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.071
Valentin Dambly , Bryan Olivier , Édouard Rivière-Lorphèvre , François Ducobu , Olivier Verlinden
{"title":"Feed rate optimisation scheme in robotic machining operations for dynamic error compensation","authors":"Valentin Dambly , Bryan Olivier , Édouard Rivière-Lorphèvre , François Ducobu , Olivier Verlinden","doi":"10.1016/j.procir.2025.02.071","DOIUrl":"10.1016/j.procir.2025.02.071","url":null,"abstract":"<div><div>The manufacturing sector demands shift towards parts with more complex geometries with the need for flexibility in production, driving interest to robotic machining. This advancing technology brings advantages like affordability, versatility, and ease of implementation, making it well-suited for agile production environments. Nevertheless, robotic machining struggles with accuracy issues due to the inherent flexibility of robots, which results in deviations and vibrations. The positioning error along a robotic machining trajectory is composed of two contributions: the steady state error and the transient. Initially generated from CAM software, the trajectory is considered as a path with a speed profile. It is then discretised in elementary sections, modelled with Hermite splines and connected by nodes. To address, offline, the lack of accuracy, an updated trajectory is computed by iteratively replacing these nodes space based on the error estimated from the dynamics simulation, strongly reducing the steady state error. However, in transient sections, the error reduction is not sufficient.</div><div>This research focusses on the impact of the feedrate modification in transient areas, typically the entrance and exit of tool in the workpiece. Specific speed profiles are defined for these sections by applying linear segments with parabolic blends expressed in terms of the curvilinear abscissa. An optimisation scheme is proposed to update their feedrate considering the node repositioning necessary to compensate tool-tip deviation. The investigation of the feedrate update is based on the results from virtual machining simulator including the robot dynamical model, responsible for steady-state and transient errors respectively and a cutter-workpiece engagement module.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 412-417"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.097
Baochen Li , Yessine Ayed , Guénaël Germain , Jun Zhang
{"title":"Constitutive behavior study of copper alloy under cold and hot compression conditions towards LN2 assisted cutting","authors":"Baochen Li , Yessine Ayed , Guénaël Germain , Jun Zhang","doi":"10.1016/j.procir.2025.02.097","DOIUrl":"10.1016/j.procir.2025.02.097","url":null,"abstract":"<div><div>New standards are being introduced to eliminate toxic elements in materials. For instance, copper alloys should no longer contain lead, although this makes them more challenging to machine. Additionally, for environmental reasons, it is crucial to eliminate cutting oils. To address these two challenges, cryogenic cooling during machining can be considered. However, it is first essential to understand the precise mechanical response of the material at low temperatures. This study conducts compression tests on copper across a wide temperature range, from cryogenic temperatures (liquid nitrogen, LN<sub>2</sub>) to 700°C, and at strain rates from 0.01/s to 10/s. The microstructure of deformed test samples is also characterized by electron back-scattered diffraction (EBSD) to compare the different plastic deformation characteristics under low and high temperature. The stress-strain curves are fitted with Johnson-Cook (JC) model, which is then implemented into the finite element simulation of the compression process. The results indicate that the JC model with the fitted parameters is not precise enough in terms of modelling very low temperature dynamic response of copper alloy, thus is not proper for the simulation of cryogenic cooling assisted cutting. This is because different characteristics of strain hardening behavior is discovered under LN<sub>2</sub> atmosphere temperature and ordinary cutting temperature, which is further induced by a transition of plastic deformation mechanism with increased temperature. Therefore, a new constitutive law is proposed considering deformation mechanism at both traditional cutting temperature and cryogenic conditions. The results indicate that the new model has a better fitting of experimental curves than JC model. This study is helpful for the understanding of low temperature copper deformation behavior and new constitutive model exploitation oriented to cryogenic cooling assisted cutting.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 567-572"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and implementation of an architecture for cloud-based monitoring in machining, focusing on high performance applications","authors":"Grigorios Kotsakis , Christos Papaioannou , Thanassis Souflas , Dimitris Tsolkas , Alex Kakyris , Panagiotis Gounas , Panagiotis Stavropoulos","doi":"10.1016/j.procir.2025.02.099","DOIUrl":"10.1016/j.procir.2025.02.099","url":null,"abstract":"<div><div>The digitalization of machining processes has sensorization and monitoring as one of its key pillars. There are several technologies demonstrated at an academic and industrial level for monitoring applications in machining related to process stability, tool wear and product quality monitoring. Nevertheless, industrial adoption is still limited considering the technological maturity of specific solutions and the number of years that research on such topics is active. A significant barrier lies on the digital maturity of the end users themselves, as well as the complexity of integration, maintenance and operation of such monitoring technologies. From a software perspective, the Software as a Service (SaaS) model could be beneficial to reduce that barrier, as has been proven in other applications (e.g. simulation). A SaaS approach on machining monitoring could reduce the investment cost from the end user side (i.e. investment in costly, high-performance edge computing systems) and ease the intellectual property preservation and software maintenance and improvement from the technology provider side. However, for high performance applications, such as stability monitoring, a SaaS approach should in parallel be robust and reliable. This paper proposes such an approach for cloud-based monitoring of machining stability, based on low cost digitalization components (sensor and edge gateway), utilizing the 5G network and standardized protocols to ensure a robust and transferrable architecture. The approach is implemented and demonstrated in a real, industrial milling environment.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 579-584"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.023
Oihana Garcia , Kerman López de Calle , Jon Ander Sarasua
{"title":"Do LLMs understand shapes? Exploring STL files for automatic CAD feature recognition","authors":"Oihana Garcia , Kerman López de Calle , Jon Ander Sarasua","doi":"10.1016/j.procir.2025.02.023","DOIUrl":"10.1016/j.procir.2025.02.023","url":null,"abstract":"<div><div>The manufacture of industrial components requires a process planning stage where features such as slots, holes, and steps need to be identified in the Computer-Aided Design (CAD) models. Precise detection of these machining features is essential to generate accurate manufacturing instructions. Over the past four decades, automating this manual process has been an area of research known as Automatic Feature Recognition (AFR). To date, Convolutional Neural Networks (CNNs) are the state-of-the-art approach for this task. Nevertheless, given the increasing ability of Large Language Models (LLMs) to understand complex information, this work proposes employing LLMs for the AFR problem. In this study, ASCII-formatted STL files are treated as language-based data for a feature classification task. For doing so, Qwen, a pre-trained LLM with robust performance across diverse tasks, is compared to a CNN model that processes voxelised input. The results are validated to understand the capabilities and computational effort required by LLMs in the context of AFR, and to evaluate their understanding of new text-based formats such as STL. For this purpose, a dataset of 24 feature classes is used for a classification task. According to the results, LLM-based methods demonstrate an understanding of STL data, revealing potential for feature classification in this field.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 126-131"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.058
Binbin Xu , Xin Liu , Shijia Shi , Hongguang Liu , Jun Zhang
{"title":"Simulation of grain refinement of Ti6Al4V alloy during laser-assisted cutting","authors":"Binbin Xu , Xin Liu , Shijia Shi , Hongguang Liu , Jun Zhang","doi":"10.1016/j.procir.2025.02.058","DOIUrl":"10.1016/j.procir.2025.02.058","url":null,"abstract":"<div><div>Under the combined effect of heating and cutting in laser-assisted machining (LAM), the material is exposed to more complex boundary conditions compared to conventional machining (CM), which inevitably affects the evolution of the microstructure. Research on how the microstructure evolves under such complex loading conditions and its effects on performance are still insufficiently understood, so an in-depth analysis of its evolution is of great significance in revealing the mechanism of material removal in LAM and in predicting and controlling surface quality. Dynamic recrystallization (DRX) is a typical microstructure evolution process in material deformation and will eventually lead to changes in grain size. Therefore, in this study, a fully coupled simulation method of LAM and the principle of cellular automata (CA) are used to construct a sequentially coupled simulation method of finite element (FE) and CA to simulate the grain refinement process during chip formation in LAM. Based on a comparison with experimental results, the influence of the laser thermal effect on the grain refinement process is analyzed. The results show that the grain refinement in the chip during LAM is significantly different from that in CM, mainly reflected in the DRX volume fraction, DRX grain size, and average grain size (AGS). The DRX region in LAM is larger than in CM, and the DRX grain size is much larger, closely related to the laser power.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 334-339"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.068
Jan Wolf , Rocco Eisseler , Nithin Kumar Bandaru , Martin Dienwiebel , Hans-Christian Möhring
{"title":"A Novel Approach for Modelling Loads on Profiled Cutting Tools","authors":"Jan Wolf , Rocco Eisseler , Nithin Kumar Bandaru , Martin Dienwiebel , Hans-Christian Möhring","doi":"10.1016/j.procir.2025.02.068","DOIUrl":"10.1016/j.procir.2025.02.068","url":null,"abstract":"<div><div>Wear of cutting tools is known to affect the surface integrity of the workpiece and significantly contributes to machine downtime. Modelling the cutting process by means of Finite Element Analysis (FEA) yields advantages to gain insights in the loads applied on the cutting tool. For the process of profile grooving only 3D modeling approaches can be employed to capture the non-linear loads relevant for wear modelling. Caused by a transient cutting phase with changing cutting conditions, capturing the wear relevant state variables over the grooving process requires huge computational resources. Aiming to reduce the simulation time for profile grooving, a novel approach is presented which transferes the cutting process to an orthogonal cutting test bench with a significantly reduced workpiece length. Workpieces are prepared with a groove that matches the shape of the tool before preparing them with a ramp or a step to enable studying the grooving process for continuously changing cutting widths and a step for abruptly changing cutting widths to resemble the freedom of design of grooving tools. The proposed approach is validated by evaluating the mechanical loads of grooving operations conducted on a turning center, on the orthogonal cutting test bench and the corresponding 3D cutting simulations with two different tool shapes to study the approach with continuously and abruptly changing cutting widths. Results show a high similarity of the cutting experiments with the proposed modeling approach with a median absolute error of 7.3% on selected points of the grooving process while offering a reduced cutting distance of 99% over the turning operation. The results show, that the required computational resources for modeling profile grooving processes can significantly be reduced while keeping the loads on the tool within reasonable accuracy. The findings promise a more efficient approach for modelling loads on profiled cutting tools with possible applications in wear modeling.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 394-399"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rheological properties and machinability in dry turning of neat PLA and PLA reinforced with hemp fibers","authors":"Liam Cloëz , Michaël Fontaine , Thierry Barrière , Alexandre Gilbin","doi":"10.1016/j.procir.2025.02.063","DOIUrl":"10.1016/j.procir.2025.02.063","url":null,"abstract":"<div><div>Society still overuses polymers without fully considering their environmental impact. However, attention is increasingly shifting towards biocomposites, which already have practical applications in various fields. Despite progress, finding alternatives for complex, precise parts remain challenging. This is why we are focusing on hybrid manufacturing, which combines the benefits of 3D printing and machining. 3D printing allows us to produce parts with complex geometries, while machining ensures the precision required to meet the highest technical standards. However, this combination of processes can present challenges. Lubricants cannot be used in cutting to prevent affecting the printed layers and hydrophilic fibers. Without lubrication, localized heating occurs during machining, and since polymers are thermally insulating, this can cause material melting, degrading the surface and quality of the part. Therefore, it is essential to first study the dry machinability of these materials to prevent such issues. This study is part of a broader approach aimed at exploring the combination of Pellets Additive Manufacturing (PAM) and milling, particularly on a biocomposite composed of 80% PLA and 20% hemp fibers. However, this aspect is not directly addressed here. Instead, this paper focuses on understanding the cutting behavior of PLA, both pure and reinforced, by analyzing the influence of cutting parameters through turning operations on injection-molded parts. The objective is to assess their impact on surface integrity and cutting forces. This approach facilitates the study of fundamental cutting parameters. Optimal cutting parameters for these materials are identified by analyzing cutting forces and assessing surface quality.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 364-369"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2024.09.012
Francisco Matos , Tiago E.F. Silva , Bruno Guimarães , Rúben D.F.S Costa , Daniel Figueiredo , Carlos Saraiva , Abílio M.P. de Jesus , Ana R. Reis
{"title":"Advanced cutting tools for edge trimming of carbon fibre reinforced composites (CFRP)","authors":"Francisco Matos , Tiago E.F. Silva , Bruno Guimarães , Rúben D.F.S Costa , Daniel Figueiredo , Carlos Saraiva , Abílio M.P. de Jesus , Ana R. Reis","doi":"10.1016/j.procir.2024.09.012","DOIUrl":"10.1016/j.procir.2024.09.012","url":null,"abstract":"<div><div>The use of carbon fibre reinforced polymers (CFRP) has transitioned towards applications with large-scale manufacturing with specific desired material characteristics, such as in the aerospace and automotive industries. Despite being manufactured in a near-net shape, machining of CFRP is often necessary to meet dimensional tolerances. The requirement to improve both the processing capability and production cost is heightening given the challenging cutting operations of CFRP, with common issues arising such as machining-induced delamination, poor surface finish and increased tool wear. Sharp polycrystalline diamond (PCD) tools are often employed during CFRP milling, however these are not economically practical due to their high cost, geometric construction limitation and inherent weakening of their geometry (due to relative low toughness and very sharp edges), leading to decreased tool longevity. Sharp diamond-coated carbide tools represent a cost-effective alternative to PCD tools. A novel approach is presented utilizing a high-thickness HF-CVD (Hot-Filament Chemical Vapor Deposition) diamond coated carbide milling tool, with laser sharpened edges, which was used for investigating the effect of coating on cutting force and surface quality of fibre reinforced composites. This paper is an introductory exploration of laser sharpened tools, focusing on their durability and performance. Instrumented experimental tests in contour milling operations demonstrated the increased cutting performance for achieving well-finished surfaces, with negligible rounding of the coated cutting edge. Future studies will compare these tools with standard PCD coated tools without laser sharpened edges to evaluate their relative advantages in machining applications during extensive tool wear tests, when machining abrasive materials, such as CFRP.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"131 ","pages":"Pages 56-61"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143509376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.01.037
Yannik Hermann , Christian Patlakis , Moritz Hörger , Marvin Carl May , Gisela Lanza
{"title":"Digital product passport enabled production control in the context of circular economy","authors":"Yannik Hermann , Christian Patlakis , Moritz Hörger , Marvin Carl May , Gisela Lanza","doi":"10.1016/j.procir.2025.01.037","DOIUrl":"10.1016/j.procir.2025.01.037","url":null,"abstract":"<div><div>Digital Product Passports (DPP) are seen as a key technology to overcome the lack of transparency of products in context of circular economy and allow a simplified derivation of quality conditions. In this paper, a production control model is presented, that generates remanufacturing, recycle and reuse strategies within a linear production system based on information from the DPP. The quality condition, derived from the DPP, and the system utilization serve as the basis for the reinforcement learning (RL) model, which optimally integrates used parts into the linear production flow. In addition to optimizing throughput, the aim of the model is also to save material and energy, which can be achieved by reusing or remanufacturing used products. The integration of used products into the linear production was tested using a production system from the water meter industry. It was shown by simulation that with the developed RL model the material consumption of the production of water meters could be significantly reduced by finding optimal circular strategies.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 221-226"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.01.008
Ni Chen , Yibo Jia , Xiang Li , Xingzhi Xiao , Jiawei Liu , Shun Weng , Ning He
{"title":"Study of liquid nitrogen cooled micro-milling of PEEK","authors":"Ni Chen , Yibo Jia , Xiang Li , Xingzhi Xiao , Jiawei Liu , Shun Weng , Ning He","doi":"10.1016/j.procir.2025.01.008","DOIUrl":"10.1016/j.procir.2025.01.008","url":null,"abstract":"<div><div>Polyetheretherketone (PEEK) is the specialty plastic that is widely used in space satellites. Due to the poor surface quality of 3D-printed PEEK, the silver lines printed on the surface will diffuse after curing. To address these issues, this paper proposed a liquid nitrogen cooling assisted micro-milling PEEK material, and analyzed the influence of three different temperatures (high temperature 140 ℃, normal temperature 25 ℃, low temperature -196 ℃) on the hardness of PEEK, and optimized the milling parameters (feed per tooth) through single factor experiments to reduce the surface roughness, and finally achieved the purpose of reducing the diffusion degree of silver lines. The result demonstrated liquid nitrogen could reduce the intermolecular force, increase the hardness and reduce surface roughness. When the feed per tooth was 1.5 μm/z, the surface roughness was reduced to minimum (0.2234 μm) at low temperature, and the diffusion degree of silver lines were greatly reduced.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"132 ","pages":"Pages 43-49"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}