Joint strength prediction in a pulsed MIG welding process using hybrid neuro ant colony-optimized model

Artificial neural network modeling of we

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 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 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