Utilization of probability-based multi-objective optimization in material welding and machining

Appropriate welding and machining of material is very significant to guarantee the comprehensive improving quality of product and reducing cost. The recently proposed probability-based approach for multi-objective optimization is with the intrinsic characteristic of simultaneous optimization of multiple objectives in respect of probability theory. In this paper, the probability-based approach for multi-objective optimization is utilized to deal with the material welding and machining problems so as to guaranty the comprehensive improving quality of product and reducing cost, the welding of turbine rear structure hub sectors and thin-wall machining are taken as examples. By performing the assessment of preferable probability of each scheme, the quantitatively optimum design of materials processing is thus completed. The results indicate that the proposed method is very significant to guarantee the comprehensive improving quality of product and reducing cost in material processing.