可调节产品族的自底向上优化再设计方法  

A Bottom-Up Optimized Redesign for Scale-Based Product Family

作　　者：李中凯[1,2] 谭建荣[1] 冯毅雄[1] 

机构地区：[1]浙江大学CAD&CG国家重点实验室,杭州310027 [2]中国矿业大学机电工程学院,徐州221116

出　　处：《计算机辅助设计与图形学学报》2009年第8期1083-1091,共9页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(50875237;50835008);国家"八六三"高技术研究发展计划(2008AA042301;2007AA04Z190)

摘　　要：在建立可调节产品族优化模型的基础上,基于独立优化、平台规划、实例产品设计和方案评价的产品族自底向上设计流程,提出基于敏感度分析和模糊聚类的产品族优化再设计方法.在产品平台规划阶段,首先使用变量敏感度分析初步划分可能的平台常量和可调节变量集合;然后对实例产品间由于变量通用所造成的性能、成本和约束满足变化进行模糊C均值聚类,并引入模糊覆盖指数决定最优的聚类数目,合理规划多平台常量的共享.通过建立平台非通用性指数以定量评价产品族方案的通用程度.最后采用通用电机产品族的再设计实例,证明了该方法的正确性与高效性.Based on the optimization model for scale-based product family, an optimized redesign method using sensitivity analysis and fuzzy clustering analysis is proposed. The method carries out independent optimization, platform planning, instance design and scheme evaluation in a bottom-up approach. Sensitivity analysis is performed to help select the candidate platform common variables and scaling variables. Then, in order to achieve the reasonable platform sharing strategy, the change of performance, cost and constraint satisfaction among instance products caused by the sharing of design variables are clustered using fuzzy C means algorithm, with taking fuzzy percentage index to determine the best cluster number. The commonality of the product family scheme is evaluated quantitatively with non-commonality index. Finally, the efficiency and effectiveness of the method are illustrated through the redesign of an existing universal motor family.

关 键 词：可调节产品族 敏感度分析 模糊C均值聚类算法 自底向上 优化再设计 

分 类 号：TH122[机械工程—机械设计及理论]