Quality Assessment Method Based on a Spectrometer in Laser Beam Welding Process
For the automation of a laser beam welding (LBW) process, the weld quality must be monitored without destructive testing, and the quality must be assessed. A deep neural network (DNN)-based quality assessment method in spectrometry-based LBW is presented in this study. A spectrometer with a response...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
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Series: | Metals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4701/10/6/839 |