HIGHLIGHTS
- who: Lazar Tomcic and collaborators from the Technical University of Munich, TUM School of Engineering and Design, Institute for Machine Tools and Industrial Management (iwb), Boltzmannstrasse, Garching, Germany have published the article: Interpreting acoustic emissions to determine the weld depth during laser beam welding, in the Journal: (JOURNAL)
- what: A deep learning approach based on a feed-forward neural_network was employed by Huang et_al11 Although the model showed promising results, it involved 28 observations (i.e., weld seams), and the train-test split was 50/50. This might be because the feed rate in the . . .
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