Parameter Design of Materials Processing in Term of Probabilistic Multi-objective Optimization

Abstract

Parameter design of material processing is quite significant to provide a safeguard to the quality of product comprehensively in condition of clean production especially. In this paper, an appropriate approach of parameter design of materials processing is proposed in term of probabilistic multi-objective optimization (PMOO). The approach has the characteristic of concurrent optimization of multiple objectives in spirit of probability theory inherently; furthermore the “sequential number-theoretic optimization (SNTO)” is employed to conduct the discretization of successive deep optimization. Besides, the optimal design of materials processing is completed by conducting the assessment of total preferable probability for each scheme. Subsequently, parameter design problems of grinding processes of H7007C bearing inner ring with energy saving and emission reduction, and processing optimization of aluminum alloy AA 6082 blank hot stamping, are taken as examples to illuminate the procedure of the approach, respectively. The results show the rationality of the approach. It has a bright prospect in parameter design of production optimization in the future.