Title: Multi-objective optimisation of friction stir welding parameters: integration of FEM and NSGA-II
Authors: Thella Babu Rao; C.S.P. Rao; Naresh Baki
Addresses: Department of Mechanical Engineering, National Institute of Technology Andhra Pradesh, Tadepalligudem 534101, West Godavari District, Andhra Pradesh, India ' National Institute of Technology Andhra Pradesh, Tadepalligudem 534101, West Godavari District, Andhra Pradesh, India ' Department of Mechanical Engineering, School of Technology, GITAM University, Hyderabad 502329, India
Abstract: In this investigation, the friction stir welding (FSW) parameters were optimised by integrating the finite element analysis and non-dominated sorting genetic algorithm-II. A thermo-mechanical finite element model to predict the peak temperature and flow stresses during welding were developed using Hyper Weld® FEM tool. The validity of the FE model was validated through experimental results. Using the validated FE model the process responses were predicted for varying conditions of welding speed, tool rotational speed, tilt angle, and shoulder diameter according to the design of experiments. The quadratic models for the process responses were postulated using response surface methodology and their adequacy was verified through analysis of variance. The problem was treated as multi-response optimisation due to the conflicting nature of the process responses and formulated to maximise the peak temperature and minimise the flow stress simultaneously. NSGA-II was then implemented to derive the Pareto-optimal solutions and reported. [Submitted 8 April 2018; Accepted 20 June 2019]
Keywords: friction stir welding; FSW; thermo-mechanical modelling; peak temperature; flow stress; response surface methodology; multi-response optimisation; non-dominated sorting genetic algorithm-II; NSGA-II.
International Journal of Manufacturing Research, 2021 Vol.16 No.1, pp.82 - 101
Accepted: 20 Jun 2019
Published online: 16 Mar 2021 *