Mississippi State University
Bammann, Douglas J.
Date of Degree
Graduate Thesis - Open Access
Computational Engineering (Program)
Master of Science
James Worth Bagley College of Engineering
Computational Engineering Program
An effective approach to determine optimum welding process parameters is implementation of advanced computer aided engineering (CAE) tool that integrates efficient optimization techniques and numerical welding simulation. In this thesis, an automated computational methodology to determine optimum arc welding process parameters is proposed. It is a coupled Genetic Algorithms (GA) and Finite Element (FE) based optimization method where GA directly utilizes output responses of FE based welding simulations for iterative optimization. Effectiveness of the method has been demonstrated by predicting optimum parameters of a lap joint specimen of two thin steel plates and automotive structure of nonlinear welding path for minimum distortion. Three dimensional FE models have been developed to simulate the arc welding process and subsequently, the models have been used by GA as the evaluation model for optimization. The optimization results show that such a CAE based methodology can contribute to facilitate the product design and development.
Islam, Mohammad Refatul, "Computational Design Optimization of Arc Welding Process for Reduced Distortion in Welded Structures" (2013). Theses and Dissertations. 1134.