Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates-Reference-Cited by-同舟云学术

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Welding defects detection based on deep learning with multiple optical sensors during disk laser welding of thick plates

Published:2019-04 Issue: Volume:51 Page:87-94
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Zhang Yanxi,You Deyong,Gao Xiangdong,Zhang Nanfeng,Gao Perry P.

Funder

National Natural Science Foundation of China

Innovation Team Project, Department of Education of Guangdong Province, China

Science and Technology Planning Project of Guangzhou, China

Guangdong Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference27 articles.

1. Mechanisms of spiking and humping in keyhole welding;Wei;IEEE T Comp Pack Man,2012

2. High power laser welding of thick steel plates in a horizontal butt joint configuration;Atabaki;Optics Laser Technol,2016

3. Correlation analysis of penetration based on keyhole and plasma plume in laser welding;Zhang;J Mater Process Technol,2018

4. A study on ray tracing method for CFD simulations of laser keyhole welding: progressive search method;Han;Weld World,2016

5. An overview of the state of art in laser welding simulation;Dal;Opt Laser Technol,2016

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