Pub Date : 2023-12-10DOI: 10.1007/s11740-023-01236-0
Simone D’Arcangelo, L. Caprio, Davide Chesi, Daniele Nocciolini, Rubino Corbinelli, B. Previtali, A. Demir
{"title":"Methodological comparison of laser stripping solutions with contemporary pulsed lasers for e-drive copper hairpins","authors":"Simone D’Arcangelo, L. Caprio, Davide Chesi, Daniele Nocciolini, Rubino Corbinelli, B. Previtali, A. Demir","doi":"10.1007/s11740-023-01236-0","DOIUrl":"https://doi.org/10.1007/s11740-023-01236-0","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138584928","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}
Pub Date : 2023-12-01DOI: 10.1007/s11740-023-01238-y
C. Kubik, Peter Groche
{"title":"Force-based inline detection of wear evolution during blanking of cold rolled steels","authors":"C. Kubik, Peter Groche","doi":"10.1007/s11740-023-01238-y","DOIUrl":"https://doi.org/10.1007/s11740-023-01238-y","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138626086","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}
Pub Date : 2023-11-27DOI: 10.1007/s11740-023-01237-z
Germán Herrera Vidal, J. C. Hernández, Claudia Minnaard
{"title":"Measuring complexity in manufacturing systems: a new metric in flow shop (Fs) and job shop (Js) environments","authors":"Germán Herrera Vidal, J. C. Hernández, Claudia Minnaard","doi":"10.1007/s11740-023-01237-z","DOIUrl":"https://doi.org/10.1007/s11740-023-01237-z","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139229740","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}
Pub Date : 2023-11-24DOI: 10.1007/s11740-023-01235-1
M. Bach, V. Psyk, Sven Winter, M. Linnemann, Niclas Pohl, Martin Dix
{"title":"Research on the bending strategy for an innovative, ressource efficient stator design","authors":"M. Bach, V. Psyk, Sven Winter, M. Linnemann, Niclas Pohl, Martin Dix","doi":"10.1007/s11740-023-01235-1","DOIUrl":"https://doi.org/10.1007/s11740-023-01235-1","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240671","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}
Pub Date : 2023-11-20DOI: 10.1007/s11740-023-01232-4
M. Gröper, S. Stergianou, D. Bailly, G. Hirt
{"title":"Development of a measurement method for tracking the position of hot steel rings on an industrial radial-axial ring rolling mill","authors":"M. Gröper, S. Stergianou, D. Bailly, G. Hirt","doi":"10.1007/s11740-023-01232-4","DOIUrl":"https://doi.org/10.1007/s11740-023-01232-4","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139259016","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}
Pub Date : 2023-11-18DOI: 10.1007/s11740-023-01234-2
K. Werkle, Caroline Trage, Jan Wolf, H. Möhring
{"title":"Generalizable process monitoring for FFF 3D printing with machine vision","authors":"K. Werkle, Caroline Trage, Jan Wolf, H. Möhring","doi":"10.1007/s11740-023-01234-2","DOIUrl":"https://doi.org/10.1007/s11740-023-01234-2","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139261954","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}
Pub Date : 2023-10-19DOI: 10.1007/s11740-023-01231-5
Eduard Gerlitz, Louis-Elias Enslin, Jürgen Fleischer
Abstract Automated robot-assisted disassembly is essential for the flexible disassembly of Li-ion battery modules for economic and safety reasons. In such a case, a CAD model for the planning process is of immense benefit. The geometric uncertainties due to the breathing of the Li-ion cells as well as the presence of component tolerances underline the importance of a sensor-based detection approach to determine the actual state of the battery module, which is crucial to ensure an automated and reliable disassembly process. In this paper, we present a method for 3D camera-based localization of points on deformed battery modules, aiding in identifying support points for milling operations in robot-assisted disassembly cells. This separation operation planning employs a CAD model, and our introduced computer vision “data processing pipeline”—a systematic series of processing steps—bridges the gap between the CAD model and the actual battery module. This involves capturing the module using a 3D camera and subsequently registering its points with the CAD model’s points. Central to this process are two algorithms: The Bayesian Coherent Point Drift (BCPD) algorithm ensures accurate non-rigid registration, while TEASER++ aids in reducing computational time. We demonstrate the effectiveness of these combined algorithms in our pipeline through rigorous testing and metrics, evidencing that a balance between accuracy and computational speed can be attained by adjusting point density.
{"title":"Computer vision application for industrial Li-ion battery module disassembly","authors":"Eduard Gerlitz, Louis-Elias Enslin, Jürgen Fleischer","doi":"10.1007/s11740-023-01231-5","DOIUrl":"https://doi.org/10.1007/s11740-023-01231-5","url":null,"abstract":"Abstract Automated robot-assisted disassembly is essential for the flexible disassembly of Li-ion battery modules for economic and safety reasons. In such a case, a CAD model for the planning process is of immense benefit. The geometric uncertainties due to the breathing of the Li-ion cells as well as the presence of component tolerances underline the importance of a sensor-based detection approach to determine the actual state of the battery module, which is crucial to ensure an automated and reliable disassembly process. In this paper, we present a method for 3D camera-based localization of points on deformed battery modules, aiding in identifying support points for milling operations in robot-assisted disassembly cells. This separation operation planning employs a CAD model, and our introduced computer vision “data processing pipeline”—a systematic series of processing steps—bridges the gap between the CAD model and the actual battery module. This involves capturing the module using a 3D camera and subsequently registering its points with the CAD model’s points. Central to this process are two algorithms: The Bayesian Coherent Point Drift (BCPD) algorithm ensures accurate non-rigid registration, while TEASER++ aids in reducing computational time. We demonstrate the effectiveness of these combined algorithms in our pipeline through rigorous testing and metrics, evidencing that a balance between accuracy and computational speed can be attained by adjusting point density.","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729863","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}
Pub Date : 2023-10-14DOI: 10.1007/s11740-023-01226-2
Sima Motallebi, Mostafa Zandieh, Akbar Alem Tabriz
{"title":"Bibliometric analysis of the emergence and evolution of Industry 4.0 in the supply chain","authors":"Sima Motallebi, Mostafa Zandieh, Akbar Alem Tabriz","doi":"10.1007/s11740-023-01226-2","DOIUrl":"https://doi.org/10.1007/s11740-023-01226-2","url":null,"abstract":"","PeriodicalId":20626,"journal":{"name":"Production Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804045","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}
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