汽车多材料控制臂拓扑优化方法

Translated title of the contribution: Multi-material Topology Optimization of Automotive Control Arm

Xiaokai Chen*, Chao Li, Yingchun Bai, Zifa Yang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In order to further reduce the mass of vehicle control arm, a multi-material topology optimization method for shell/filler structure is proposed. Two groups of design variables are adopted to establish the material interpolation model, in which a two-step filtering is conducted on the first group of design variables and the normalized density gradient norms are used to separate shell region and filler region, while the second group of design variables are used for the assignment of multi-material in filler region. To avoid over aggregation of infill material, the local volume constraint is extended to the issue of multi-material filling by implicit mapping function. The results of calculation example of control arm optimization indicate that the material interpolation model can effectively identify the feature of shell and achieve local volume constraints, the mass of the main part of control arm is 13.2% less than the original steel counterpart, and the stress levels in steering and braking conditions are reduced by 55.0% and 39.7%, respectively, getting a better result of lightweighting.

Translated title of the contributionMulti-material Topology Optimization of Automotive Control Arm
Original languageChinese (Traditional)
Pages (from-to)1088-1095
Number of pages8
JournalQiche Gongcheng/Automotive Engineering
Volume43
Issue number7
DOIs
Publication statusPublished - 25 Jul 2021

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