Multiobjective optimal design of friction stir welding considering quality and cost issues

Because of the high complexity in microstructure evolution in friction stir welding, it becomes very difficult to design optimal welding parameters. To solve this problem, in the current paper, soft-computing-based data-driven models are developed to provide accurate and instant predictions for the welding process, and a multi-objective optimisation approach is employed to find optimal solutions to achieve the desired quality and economic objectives. The current work studies the aluminium AA5083-O as an example, where not only weld quality and mechanical properties of a joint, but also in-process properties and production cost, are considered as objectives in the optimal design