汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (3): 390-395.doi: 10.19562/j.chinasae.qcgc.2020.03.016

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碳纤维复合材料防撞梁轻量化设计*

陈静1, 唐傲天1, 田凯2, 刘震1   

  1. 1.吉林大学,汽车仿真与控制国家重点实验室,长春 130022;
    2.中车青岛四方机车车辆股份有限公司,青岛 266000
  • 收稿日期:2018-11-26 出版日期:2020-03-25 发布日期:2020-04-16
  • 通讯作者: 唐傲天,硕士研究生,E-mail:autotat@163.com
  • 基金资助:
    *国家重点研发计划项目(2018YFB0105900)资助

Lightweight Design of Carbon Fiber Composite Anti-collision Beam

Chen Jing1, Tang Aotian1, Tian Kai2, Liu Zhen1   

  1. 1.Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun 130022;
    2.CRRC Qingdao Sifang Co., Ltd., Qingdao 266000
  • Received:2018-11-26 Online:2020-03-25 Published:2020-04-16

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摘要： 为某车型设计了碳纤维复合材料防撞梁,建立了其有限元分析模型,并用传统钢制防撞梁碰撞试验与仿真结果对比验证了模型准确性。然后采用全因子实验设计确定其横截面形状与铺层顺序的最优组合,最后应用NSGA-Ⅱ遗传算法对防撞梁结构铺层厚度进行了多目标优化。结果表明,在其碰撞性能提高的基础上,轻量效果达到将近65%,且优化后的防撞梁结构与吸能盒和前纵梁结构连接后,在高速碰撞过程中变形模式更合理。

关键词: 碳纤维复合材料, 防撞梁, 碰撞仿真, 铺层设计, 多目标优化

Abstract: The carbon fiber composite anti-collision beam of a car is designed and its model for finite element analysis is set up, with its correctness verified by comparing the results of simulation on traditional steel anti-collision beam with test results. Then the optimal combination of its cross section shape and ply laying sequence is determined by full-factor experiment of design. Finally, multi-objective optimization is conducted on the thickness of anti-collision beam structure with NSGA-II genetic algorithm. The results show that after optimization, its crashworthiness is enhanced, its mass is reduced by nearly 65%, and its deformation mode is more reasonable in the course of high-speed crash when connected with energy-absorbing box and front side rail

Key words: carbon fiber composites, anti-collision beams, crash simulation, ply design, multi-objective optimization