科创中国

原文链接：万方

• 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.

• 关键词：

  carbody structural lightweighting implicit parameterization MDO BIW

• 作者单位：

  State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;Zhejiang Geely Automobile Research Institute Co.Ltd, Hangzhou 311228, China%Zhejiang Geely Automobile Research Institute Co.Ltd, Hangzhou 311228, China%State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China

• 基金项目：

  National Natural Science Foundation of China(Grant51175214)%Scientific and Technological Planning Project of China(Grant2011BAG03B02-1)

• 来源期刊：

  中国机械工程学报

• 年，卷(期)：

  201427003