Fixture Variation Diagnosis of Compliant Assembly Using Sensitivity Matrix  

作　　者：于奎刚 金隼 来新民 

机构地区：[1]Shanghai Key Laboratory of Digital Autobody Engineering,Shanghai Jiaotong University

出　　处：《Journal of Shanghai Jiaotong university(Science)》2009年第6期707-712,共6页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China (No. 50705056);the National High Technology Research and Development Program (863) of China (No.2006AA04Z148)

摘　　要：An automotive body is composed of compliant sheet metal parts.Fast and exactly diagnosing variation sources is very important when assembly variations happen.This paper proposes a diagnosis method of multi fixture variations based on the variation model of compliant sheet metal assembly.The assembly variation model is obtained by using the method of influence coefficients(MIC) and considering the manufacturing variations of compliant parts and multi fixture variations.The measurement point variations induced by part manufacturing variations are firstly removed from the measurement data.The variation patterns of multi fixture variations are constructed by column vectors of fixture variation sensitivity matrix.This method is proved to be feasible for exactly diagnosing the fixture variations and has higher diagnosis efficiency than designated component analysis(DCA).An automotive body is composed of compliant sheet metal parts. Fast and exactly diagnosing variation sources is very important when assembly variations happen. This paper proposes a diagnosis method of multi fixture variations based on the variation model of compliant sheet metal assembly. The assembly variation model is obtained by using the method of influence coefficients （MIC） and considering the manufacturing variations of compliant parts and multi fixture variations. The measurement point variations induced by part manufacturing variations are firstly removed from the measurement data. The variation patterns of multi fixture variations are constructed by column vectors of fixture variation sensitivity matrix. This method is proved to be feasible for exactly diagnosing the fixture variations and has higher diagnosis efficiency than designated component analysis （DCA）.

关 键 词：compliant assembly multi fixture variation diagnosis sensitivity analysis root cause identification 

分 类 号：TG75[金属学及工艺—刀具与模具] TH133.2[机械工程—机械制造及自动化]