Carbody Structural Lightweighting Based on Implicit Parameterized Model

作     者：CHEN Xin MA Fangwu WANG Dengfeng XIE Chen 

作者机构：State Key Laboratory of Automotive Simulation and Control Jilin University Zhejiang Geely Automobile Research Institute Co. Ltd 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2014年第27卷第3期

页      面：483-487页

核心收录：

学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：Supported by National Natural Science Foundation of China(Grant No.51175214) Scientific and Technological Planning Project of China(Grant No.2011BAG03B02-1) 

主　　题：carbody structural lightweighting implicit parameterization MDO BIW 

摘      要：Most of recent research on carbody lightweighting has focused on substitute material and new processing technologies rather than structures. However, new materials and processing techniques inevitably lead to higher costs. Also, material substitution and processing lightweighting have to be realized through body structural profiles and locations. In the huge conventional workload of lightweight optimization, model modifications involve heavy manual work, and it always leads to a large number of iteration calculations. As a new technique in carbody lightweighting, the implicit parameterization is used to optimize the carbody structure to improve the materials utilization rate in this paper. The implicit parameterized structural modeling enables the use of automatic modification and rapid multidisciplinary design optimization （MDO） in carbody structure, which is impossible in the traditional structure finite element method （FEM） without parameterization. The structural SFE parameterized model is built in accordance with the car structural FE model in concept development stage, and it is validated by some structural performance data. The validated SFE structural parameterized model can be used to generate rapidly and automatically FE model and evaluate different design variables group in the integrated MDO loop. The lightweighting result of body-in-white （BIW） after the optimization rounds reveals that the implicit parameterized model makes automatic MDO feasible and can significantly improve the computational efficiency of carbody structural lightweighting. This paper proposes the integrated method of implicit parameterized model and MDO, which has the obvious practical advantage and industrial significance in the carbody structural lightweighting design.