✦ LIBER ✦

In-Process Joint Strength Estimation in Pulsed Laser Spot Welding Using Artificial Neural Networks

✍ Scribed by Dae-Cheol Lim; Dae-Gab Gweon

Book ID: 108496265
Publisher: Society of Manufacturing Engineers
Year: 1999
Tongue: English
Weight: 924 KB
Volume: 1
Category: Article
ISSN: 1526-6125
DOI: 10.1016/s1526-6125(99)70003-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

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

Joint strength prediction in a pulsed MI

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

✍ N. Raghavendra; Rakshit Koranne; Sukhomay Pal; Surjya K. Pal; Arun K. Samantaray 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 402 KB