Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.077
Mikel Etxebeste , Gorka Ortiz-de-Zarate , Iñaki M. Arrieta , Pedro J. Arrazola
{"title":"Finite Element Modeling to Design Optimized TMD for Milling Tools","authors":"Mikel Etxebeste , Gorka Ortiz-de-Zarate , Iñaki M. Arrieta , Pedro J. Arrazola","doi":"10.1016/j.procir.2025.02.077","DOIUrl":"10.1016/j.procir.2025.02.077","url":null,"abstract":"<div><div>Long milling tools are often limited in productivity due to chatter vibrations. Embedded Tuned Mass Dampers (TMDs) in these tools have proven to be an effective solution for reducing chatter and increasing productivity. The performance of TMDs is highly dependent on the correct dimensioning and selection of the most suitable damping materials, which cannot be determined through trial and error, making modeling essential. This study presents a new TMD design for milling tools, optimized through Finite Element Method (FEM) modeling. The FEM analysis allows for maximizing damping efficiency through the precise selection of optimal dimensional parameters tailored to the specific tool geometry. A prototype of the optimized TMD tool was manufactured and experimentally tested, validating the FEM model through tap testing and showing significantly improved performance in machining tests, with reduced chatter compared to the original undamped tool.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 448-453"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759171","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.2025.02.019
Sangil Han , Emilie Viéville , Mehmet Cici , Thierry André , Frédéric Valiorgue , Joël Rech
{"title":"Process analysis and tool wear monitoring with spindle motor power and current signals in longitudinal and face turning","authors":"Sangil Han , Emilie Viéville , Mehmet Cici , Thierry André , Frédéric Valiorgue , Joël Rech","doi":"10.1016/j.procir.2025.02.019","DOIUrl":"10.1016/j.procir.2025.02.019","url":null,"abstract":"<div><div>This study presents process analysis and tool wear monitoring using spindle motor power and current signals in longitudinal and face turning. To achieve these tasks, longitudinal and face turnings with different levels of flank wear (new, VB150, VB300) were performed. In longitudinal turning, two workpieces with different diameters (Ø80 and Ø45 mm) were used. In face turning, two feed directions (uphill and downhill) were attempted. The spindle motor power, current and speed, as well as cutting forces were recorded in real time during turning. In longitudinal turning, the spindle motor power was found to be sensitive to the level of flank wear, which can be used for tool wear monitoring. Reliable cutting force prediction from spindle motor power (air cutting power + net cutting power) is also shown. In face turning, the tool exit time in the spindle motor power signal was found to be sensitive to tool geometry changes due to wear, suggesting that it can be used for tool wear monitoring. The spindle motor current and speed signals for all turning cases are also analyzed. The influence of the corresponding three-phase spindle motor connections (star and delta) on tool wear monitoring is discussed.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 102-107"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759550","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.2025.02.012
Gaetano Massimo Pittalà
{"title":"A new coolant supply for solid end mills in HRSA alloy machining","authors":"Gaetano Massimo Pittalà","doi":"10.1016/j.procir.2025.02.012","DOIUrl":"10.1016/j.procir.2025.02.012","url":null,"abstract":"<div><div>Nickel-based alloys like Inconel718 are crucial in aerospace for their strength and resistance to thermal fatigue and corrosion, but they are difficult to machine due to rapid tool wear and high cutting forces. This study introduces a novel coolant design with holes connecting adjacent flutes. The new design helps to reduce flank wear thanks to better fluid flow around the cutting edge, as verified by CFD simulation. Experimental results showed that the new coolant system outperforms conventional methods, particularly when the tool wear is thermal driven. These demonstrate the potential of advanced coolant system to enhance the machinability of Inconel718.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"133 ","pages":"Pages 61-65"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143759646","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.2025.02.143
Raza Saeed, Tadele Belay Tuli, Michael Weikum, Martin Manns
{"title":"Towards trajectory-based latent space control for human-robot collaboration","authors":"Raza Saeed, Tadele Belay Tuli, Michael Weikum, Martin Manns","doi":"10.1016/j.procir.2025.02.143","DOIUrl":"10.1016/j.procir.2025.02.143","url":null,"abstract":"<div><div>In manual assembly, human-robot collaboration (HRC) research activities aim to improve the manual handling of parts. For this purpose, latent space control has been investigated by several research groups. However, control problems have shown limited applicability for various frame-based latent space models. The objective of this work is to determine if positional control is principally possible for trajectory-based latent spaces. Therefore, we investigate how ‘reach’ trajectories that are constrained in the target position map to a latent space that has been derived from functional principal component analysis (fPCA). A multivariate normality test is conducted to analyze the target-constrained position in the latent space, followed by mapping between the latent and Cartesian spaces. Results show that for linear shifts in the target ‘reach’ position, Gaussian modes in the latent space move along a vector in the latent space. Additionally, Gaussian mixtures occur at the target point where different motion styles are chosen for reaching. Results suggest that positional control may prove feasible for the considered type of latent space.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 431-436"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291043","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.2025.03.026
Maximilian Benker , Christian Zeller
{"title":"Condition monitoring of machine tool feed drives in aero engine manufacturing","authors":"Maximilian Benker , Christian Zeller","doi":"10.1016/j.procir.2025.03.026","DOIUrl":"10.1016/j.procir.2025.03.026","url":null,"abstract":"<div><div>Condition monitoring of machine tool feed drives has long been subject of research and preliminary results have already merged into commercial software solutions offered by machine tool manufacturers and numeric control manufacturers. However, when it comes to industrial applications, the effectiveness of the results proposed in the state of the art has only been discussed insufficiently. In other words, there is a lack of testimonials from industrial users. This paper addresses this by describing an in-house developed condition monitoring system for machine tool feed drives in aero engine manufacturing. The paper shows that, if thoroughly implemented, even simple approaches from the state of the art can lead to significant cost benefits in the operation and maintenance of the used machine tools.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 121-126"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290735","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.2025.03.063
Matteo Zanovello , Tullio Tolio , Maria Chiara Magnanini
{"title":"A Knowledge Based System for Intelligent Planning of e-motors Remanufacturing Activities","authors":"Matteo Zanovello , Tullio Tolio , Maria Chiara Magnanini","doi":"10.1016/j.procir.2025.03.063","DOIUrl":"10.1016/j.procir.2025.03.063","url":null,"abstract":"<div><div>The implementation of circular economy guidelines and new greener policies introduced by governments and agencies have underscored significant challenges in manufacturing systems fexibility. These challenges are particularly severe when considering de-remanufacturing processes, where unpredictable, product-specific variability plays a crucial role. Effiectively managing this input variability requires flexible and reconfg-urable systems that integrate both hardware and software, while meeting production standards and customer expectations. As products reach the end of their operational life and return for remanufacturing, their nominal characteristics are lost, requiring customized disassembly and remanufacturing plans tailored to the condition of each component. To address this need, this work proposes a knowledge-based system for generating activity schedules for de-remanufacturing, within the context of short-term production planning methods. A case study focused on the de-remanufacturing of electric motors is conducted to test and validate the effectiveness of the proposed approach.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 485-490"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290900","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.2025.02.171
Antje Fitzner , Thomas Ackermann , Melanie Lübke
{"title":"Normal Behavior Modelling for the Mixing Process in Battery Cell Production","authors":"Antje Fitzner , Thomas Ackermann , Melanie Lübke","doi":"10.1016/j.procir.2025.02.171","DOIUrl":"10.1016/j.procir.2025.02.171","url":null,"abstract":"<div><div>The rising global demand for lithium-ion battery cells (LIBs) underscores the need for efficient production processes. Predictive maintenance (PdM) plays a crucial role by transforming data into insights, enhancing equipment reliability. Normal Behavior Modelling (NBM) enables anomaly detection, aiming to improve operational efficiency and product quality in this complex manufacturing environment.</div><div>An NBM of the extruder is developed using real production data for the electrode mixing process. The model captures the normal behavior of the machine by predicting the pressure as a measure of the system state of the machine. Identifed anomalies are highlighted and can later be used for a full PdM. The results will enhance the monitoring of the LIB production line and prevent unintended downtimes of machines.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 520-525"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290906","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.2025.02.167
John Lindström , Petter Kyösti , Wolfgang Birk , Erik Lejon , Germar Schneider , Alf Andersson , Oskar Lindblad , Jens Eliasson , Karl Andersson
{"title":"Interoperability requirements for Zero Defect Manufacturing within Industry4.0","authors":"John Lindström , Petter Kyösti , Wolfgang Birk , Erik Lejon , Germar Schneider , Alf Andersson , Oskar Lindblad , Jens Eliasson , Karl Andersson","doi":"10.1016/j.procir.2025.02.167","DOIUrl":"10.1016/j.procir.2025.02.167","url":null,"abstract":"<div><div>The paper addresses, based on a qualitative study comprising five companies, requirements for interoperability concerning Zero Defect Manufacturing (ZDM) in an Industry4.0 context. The results outline a strong link between well working interoperability and achieving the benefits from ZDM efforts. Further, the results also outline the need for getting out the right data from production processes and keep high data quality supported by management attention and a clear vision. The results are aligned with existing literature and studies but bring up more details on requirements on evolving interoperability for ZDM in terms of data quality and how the analytic output can be used for decisions based on the reliability and confidence levels. In addition, the increased need for cybersecurity within ZDM is highlighted where also cybersecurity requires interoperability to function well over time.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 532-537"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290908","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.2025.02.172
Laiyi Li , Maolin Yang , Pingyu Jiang
{"title":"Converting Relational Databases to Manufacturing Knowledge Graph for Product Quality Tracing in Additive Manufacturing","authors":"Laiyi Li , Maolin Yang , Pingyu Jiang","doi":"10.1016/j.procir.2025.02.172","DOIUrl":"10.1016/j.procir.2025.02.172","url":null,"abstract":"<div><div>Product quality tracing (PQT) in additive manufacturing (AM) is a significant and complex challenge crucial for fully understanding the processes, tracing quality issues, and optimizing process technologies. Typically, tracing relies on production data from historical relational databases, but these data lack semantic information and integration with the service context of manufacturing processes. A manufacturing knowledge graph (MKG) offers a solution by adding manufacturing semantic information to production data. This paper constructed a PQT model and an MKG database for AM. The PQT model and the schema layer of the MKG originate from the swimlane flowchart. Subsequently, a relational database was mapped to instantiate the MKG, and the natural language model was used to complete it. This integration constructs a PQT model and an MKG database centered on manufacturing resources, events, data, and states. The tracing subgraphs extracted from the MKG database demonstrate that this method effectively traces manufacturing process issues and anomalies. The proposed method provides a viable database and method for PQT in AM, enabling comprehensive tracing of manufacturing processes, identifying quality anomalies, and providing potential cause references for AM experts.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 544-549"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290910","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.2025.02.145
Raza Saeed, Tadele Belay Tuli, Martin Manns
{"title":"Experimental setup for motion capturing two humans jointly handling an object","authors":"Raza Saeed, Tadele Belay Tuli, Martin Manns","doi":"10.1016/j.procir.2025.02.145","DOIUrl":"10.1016/j.procir.2025.02.145","url":null,"abstract":"<div><div>In manual assembly, human motion capture is difficult. Reproducibly capturing two humans who are jointly handling a single part requires synchronization, communication between humans, and correcting deviations. This paper proposes an experimental setup to capture and analyze human motion data using an overhead light projector that dynamically and visually guides collaborating humans to initial and target positions. The experimental setup comprises full-body, hand-finger, and gaze-tracking sensors. Cyclic synchronization helps to reduce drift, correct position errors, and make the method easily reproducible and robust for collecting human motion data. The accuracy of object motion, which is handled by humans to execute a cooperative task, is assessed. Preliminary results show a promising output that can be scaled up for human-robot interactions using digital human models e.g., to evaluate collaboration actions and identify shared roles.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 401-406"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291038","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}