关键词: 公差设计模型, 多目标优化, 统计法公差, Pareto最优, 粒子群优化

Abstract: To solve the problem of ignored product quality in cost-tolerance model, a multi-objective model of tolerance design was presented, which was based on Taguchi's quality view and the conception of Pareto optimum set. Manufacturing cost and quality loss were both taken as design objectives, which were subject to assembly success rate of statistical tolerance, and the obtained tolerance zone was looser than the worst tolerance's. The traditional particle swarm optimization was improved, the particle was redefined according to the conception of Pareto optimum, and then the fast non-dominant sorting technology was adopted to sequence the particles by their fitness values, so multi-objective model of tolerance design could be solved by the improved algorithm. Used to engineering example, only through one operation good Pareto optimum set was obtained. Solutions could be selected according to manufacturing reality and market demand. Based on analysis of Pareto front, the tolerance design characteristics of this kind of part could be got, and the general laws of tolerance design were also validated by results.

Key words: tolerance design model, multi-objective optimization, statistical tolerance, Pareto optimum, particle swarm optimization