Optimal Assembly Tolerance Design Based On Fuzzy Information Entropy and Seeker Optimization Algorithm
The design of assembly tolerance is directly related to the product quality and product manufacturing cost. In order to carry out a reasonable distribution of the assembly tolerance, this paper considers synthetically the product quality loss and product processing cost. The fuzzy weight of the quality loss and product processing cost is calculated based on fuzzy number. Meanwhile, the weight of experts is determined by information entropy in order to decrease the subjective arbitrariness of experts. Finally, seeker optimization algorithm is used to solve the problem of assembly tolerance distribution. This method is tested on a certain type of aircraft component, and the result shows its practicality.
tolerance fuzzy numbers entropy Seeke roptimization algorithm
Zhao Zhijie Li Yuan Yu Jianfeng Tang Shuilong
The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology,Ministry of Educat The Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Educa
国际会议
成都
英文
1-4
2010-08-20（万方平台首次上网日期，不代表论文的发表时间）