Authors: R. Pandiyarajan
Addresses: Department of Mechanical Engineering, K.L.N College of Engineering, Madurai-630612, Tamil Nadu, India
Abstract: The welding process is an important component in many industrial operations. Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortion. So that in this paper presents find the suitable input parameter in welded joints and then find the full penetration of the material. By using on design of experiment (DOE), genetic algorithm and computational network are widely used to develop a mathematical relationship between the welding process input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality of the welded material.
Keywords: welding; design of experiment; DOE; parameter optimisation; GA; regression equation.
International Journal of Enterprise Network Management, 2021 Vol.12 No.1, pp.85 - 96
Accepted: 02 Nov 2017
Published online: 07 Jan 2021 *