Machine Learning for Camera-Based Monitoring of Laser Welding Processes

The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods...

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Main Author: Hartung, Julia
Format: Online
Language:English
Published: KIT Scientific Publishing 2024
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Online Access:OCN: 1427548475
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author Hartung, Julia
author_browse Hartung, Julia
author_facet Hartung, Julia
author_sort Hartung, Julia
collection Directory of Open Access Books
description The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
format Online
id doab-20.500.12854ir-135794
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-1357942025-05-27T07:04:57Z Machine Learning for Camera-Based Monitoring of Laser Welding Processes Hartung, Julia CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance. 2024-03-19T04:06:27Z 2024-03-19T04:06:27Z 2024-03-18T13:31:49Z 2024 book OCN: 1427548475 https://library.oapen.org/handle/20.500.12657/88624 9783731513339 https://directory.doabooks.org/handle/20.500.12854/135794 eng Forschungsberichte aus der Industriellen Informationstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf https://library.oapen.org/bitstream/20.500.12657/88624/1/machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf KIT Scientific Publishing 10.5445/KSP/1000164716 10.5445/KSP/1000164716 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731513339 AG Universitätsverlage 258 open access
spellingShingle CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Hartung, Julia
Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title_full Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title_fullStr Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title_full_unstemmed Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title_short Machine Learning for Camera-Based Monitoring of Laser Welding Processes
title_sort machine learning for camera based monitoring of laser welding processes
topic CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
topic_facet CNN; stacked dilated U-Net; semantic segmentation; hairpin technology; laser welding; quality assurance; machine learning; Qualitätssicherung; semantische Segmentierung; Hairpin Technologie; Laserschweißen; Maschinelles Lernen; Künstliche Intelligenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
url OCN: 1427548475
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