Journal
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Volume 202, Issue 1-3, Pages 137-144Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jmatprotec.2007.09.025
Keywords
arc spot welding; neural networks; ultimate capacity
Ask authors/readers for more resources
This study presents neural network (NN) for the prediction of ultimate capacity of arc spot welding. The proposed NN model is based on experimental results. The ultimate capacity of arc spot welding is modeled in terms of weld strength, average welding thickness and diameter. The results of the proposed NN model are later compared with results of existing codes and are found to more accurate. Moreover, the proposed NN model is presented in explicit form as a mathematical function. Parametric studies are also carried out to analyze the effect of each variable. The proposed NN model is a unified formulation valid for governing shear failures. (C) 2007 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available