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

Optics and Lasers in Engineering

Volumn 34, Issue 3, 2000, Pages 149-158

  Lee, Jeongick ^a   Um, Kiwoan ^b  

^a Yong in Songdam College   (South Korea)

^b Hanyang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; REGRESSION ANALYSIS;

GAS METAL ARC WELDING;

WELDING;

EID: 0034261642     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0143-8166(00)00097-X     Document Type: Article

References (4)

1. Raveendra J., Parmar R.S. Mathematical models to predict weld bead geometry for flux cored arc welding, Metal Construct. 19(2):1987;31R-35R.
2. 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.
3. 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.
4. Kim I.S., Kwon W.H., Park C.E. The effects of welding process parameters on weld bead width in GMAW processes. Korea Weld Soc. 14(4):1994;204-213.