Deep Learning-Based Weld Contour and Defect Detection from Micrographs of Laser Beam Welded Semi-Finished Products

Deep Learning-Based Weld Contour and Defect Detection from Micrographs of Laser Beam Welded Semi-Finished Products

Laser beam welding is used in many areas of industry and research. There are many strategies and approaches to further improve the weld seam properties in laser beam welding. Metallography is often needed to evaluate welded seams. Typically, the images are examined and evaluated by experts. The eval...

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Bibliographic Details
Main Authors: Christian Nowroth, Tiansheng Gu, Jan Grajczak, Sarah Nothdurft, Jens Twiefel, Jörg Hermsdorf, Stefan Kaierle, Jörg Wallaschek
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
weld seam
weld defects
deep learning
semantic segmentation
dataset creation
quantization
Online Access:https://www.mdpi.com/2076-3417/12/9/4645

Internet

https://www.mdpi.com/2076-3417/12/9/4645

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