machine-learning-for-camera-based-monitoring-of-laser-welding-processes.pdf

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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Bibliographic Details
Language:English
Published: KIT Scientific Publishing 2024
Online Access:https://doi.org/10.5445/KSP/1000164716
Description
Summary: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.