Weld depth estimation during pulse mode laser welding process by the analysis of the acquired sound using feature extraction analysis and artificial neural network

Weld depth estimation during pulse mode laser welding process by the analysis of the acquired sound using feature extraction analysis and artificial neural network

In an automated laser welding process, it is vital to provide a robust monitoring system which could estimate weld depth by in-situ basis as it could directly give feedback to the control system for further action. This paper presents the development of the model for estimating the weld penetration...

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Bibliographic Details
Main Authors: Mohd Fadhlan, Mohd Yusof, M., Ishak, M. F., Ghazali
Format: Article
Language:English
Published: Elsevier Ltd 2020
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access:http://umpir.ump.edu.my/id/eprint/28769/
http://umpir.ump.edu.my/id/eprint/28769/2/Weld%20depth%20estimation%20during%20pulse%20mode%20laser%20welding%20.pdf

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