A comparison in a back-bead prediction of gas metal arc welding using multiple regression analysis and artificial neural network-Reference-Cited by-同舟云学术

A comparison in a back-bead prediction of gas metal arc welding using multiple regression analysis and artificial neural network

Published:2000-09 Issue:3 Volume:34 Page:149-158
ISSN:0143-8166
Container-title:Optics and Lasers in Engineering
language:en
Short-container-title:Optics and Lasers in Engineering

Author:

Lee Jeongick,Um Kiwoan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference4 articles.

1. Chandel RS. Mathematical modeling of as metal arc weld features, Proceedings of the Fourth International Conference on Modeling of Casting and Welding Processes, April 1988 p. 109–120

2. Yang LJ, Chandel RS, Bibby MJ. The effects of process variables on the weld deposit area of submerged arc welds. Weld J 1987; 72(1) 11-s–8-s.

3. The effects of welding process parameters on weld bead width in GMAW processes;Kim;Korea Weld Soc,1994

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