제한된 이산정보를 이용한 로어컨트롤암의 신뢰성 기반 최적설계

Abstract

Lower control arm (LCA) is a part of chassis in automotive. Performances of LCA such as stiffness,durability and permanent displacement must be considered in design optimization. However it is hard to considerdifferent performances at once in optimization because these are measured by different commercial tools like Radioss,Abaqus, etc. In this paper, firstly, we construct the integrated design automation system for LCA based on Matlabincluding Hypermesh, Radioss and Abaqus. Secondly, Akaike information criterion (AIC) is used for assessment ofreliability of LCA. It can find the best estimated distribution of performance from limited and discrete stochasticinformation and then obtains the reliability from the distribution. Finally, we consider tolerances of design variables andvariation of elastic modulus and achieve the target reliability by carrying out reliability-based design optimization(RBDO) with the integrated system.