Advances in Welding and Joining Technologies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (10 December 2022) | Viewed by 3173
Special Issue Editors
Interests: laser welding; joining; US-welding; friction-stir welding; digitalization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The quick development of digitalization has in recent years led to a reminiscence of statistic methods in order to characterize and evaluate welding processes, such as US-welding, laser welding, friction stir welding or GMA Welding. The step to AI and neural networks is noticeably short, so new papers focusing on the use of different methods of AI for welding processes, aiming toward quality assurance (recognizing weld defects) to determine process stability or to recognize incorrect welding parameters are of interest.
In this Special Issue, we will focus on the evaluation of AI methods for welding and the explanation of the physical significance of the results. Papers dealing with a deep understanding of the correlations found through AI methods are welcome.
Prof. Dr. Jean-Pierre Bergmann
Dr. Jörg Hildebrand
Guest Editors
Manuscript Submission Information
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