Prediction of internal welding penetration based on IR thermal image supported by machine vision and ANN-model during automatic robot welding process

Author:

Wang Yunfeng,Lee Wonjoo,Jang Seungbeom,Truong Van Doi,Jeong Yuhyeong,Won Chanhee,Lee Jangwook,Yoon Jonghun

Funder

Korea Ministry of Trade Industry and Energy

National Research Foundation of Korea

Korea Hydro and Nuclear Power Co Ltd

Publisher

Elsevier BV

Reference35 articles.

1. Welding processes in marine application: a review;Anand;Int. J. Mech. Eng. Robot. Res.,2015

2. Selection of parameters of pulsed current gas metal arc welding;Palani;J. Mater. Process. Technol.,2006

3. On relation between fatigue properties of welded joints, quality criteria and groups in ISO 5817;Hobbacher;Weld. World,2012

4. Investigation of the effect of welding parameters on weld quality of plasma arc keyhole welding of structural steels;Martikainen;Weld. J.,1993

5. The effect of welding parameters on penetration in GTA welds;Shirali;Weld. J.,1993

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