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Determination of Optimal Pulse Metal Inert Gas Welding Parameters with a Neuro-GA Technique

✍ Scribed by Pal, Sukhomay; Pal, Surjya K.; Samantaray, Arun K.

Book ID
126878937
Publisher
Taylor and Francis Group
Year
2010
Tongue
English
Weight
723 KB
Volume
25
Category
Article
ISSN
1042-6914

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Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals
✍ Sukhomay Pal; Surjya K. Pal; Arun K. Samantaray πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 646 KB

This paper addresses the weld joint strength monitoring in pulsed metal inert gas welding (PMIGW) process. Response surface methodology is applied to perform welding experiments. A multilayer neural network model has been developed to predict the ultimate tensile stress (UTS) of welded plates. Six p