Optimization of design tolerances through response surface approximations

作     者：Jordaan, JP Ungerer, CP 

作者机构：Univ Pretoria Dept Mech & Aeronaut Engn ZA-0002 Pretoria South Africa 

出 版 物：《JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME》 (J Manuf Sci Eng Trans ASME)

年 卷 期：2002年第124卷第3期

页      面：762-767页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 

主　　题：.design space deviation Response Surface nominal manufacturing cost set of design probability distribution functional requirements Tolerances optimization algorithm probability density yield surface Optimization of Design 

摘      要：A methodology whereby the optimal set of design tolerances is assigned to the dimensions of a general mechanical assembly, is developed and tested. The manufacturing cost is minimized, while the design is constrained to a specified probability of meeting functional requirements, called the yield of the design. An analytical relationship for the assembly yield surface is generally unknown, and use is made of response surface approximations in the optimization algorithm. Yield values are determined at design space points through Monte Carlo simulations, seen as the response surface experiments. The methodology is benchmarked on example problems from the literature, and the optimum compares superior to published results.