汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (1): 36-41.doi: 10.19562/j.chinasae.qcgc.2019.01.006

• • 上一篇    下一篇

汽车动力总成悬置的碰撞失效模拟研究*

吴长鹏1, 谢斌1, 潘锋2,3, 罗昆1, 张坤伦2, 张思彭3   

  1. 1.东风日产乘用车技术中心,广州 510800;
    2.厦门理工学院机械与汽车工程学院,厦门 361024;
    3.上海迅仿工程技术有限公司,上海 201821
  • 收稿日期:2018-01-02 出版日期:2019-01-25 发布日期:2019-01-25
  • 通讯作者: 谢斌,工程师,E-mail:dfxiebin@dfl.com.cn。
  • 基金资助:
    *国家自然科学基金面上项目(51775466)和福建省自然科学基金面上项目(2016J01748)资助。

A Study on Crash Failure Simulation of Vehicle Engine Mounts

Wu Changpeng1, Xie Bin1, Pan Feng2,3, Luo Kun1, Zhang Kunlun2, Zhang Sipeng3   

  1. 1.Dongfeng Nissan Passenger Vehicle Technical Center, Guangzhou 510800;
    2.School of Mechanical Engineering, Xiamen University of Technology, Xiamen 361024;
    3.Shanghai ShareFEA Engineering Technology, Shanghai 201821
  • Received:2018-01-02 Online:2019-01-25 Published:2019-01-25

PDF (PC)

630

赞

摘要： 汽车动力总成悬置在正面碰撞中对纵梁变形模式有着重要影响。为准确预测悬置的碰撞断裂失效行为,开展了铸铝材料的力学性能试验。基于CrachFEM韧性失效准则,建立带有失效准则的铸铝材料卡片,通过对悬置支架的落锤冲击试验和模拟对标,验证了铸铝材料卡片的准确性和悬置建模方法的可靠性。整车碰撞仿真结果表明,CrachFEM失效模型能准确模拟悬置断裂失效过程,使纵梁变形模式和车身加速度响应更贴合试验结果,提高汽车动力总成碰撞仿真的精度,为碰撞性能开发提供仿真评估手段。

关键词: 铸铝悬置, 碰撞失效预测, CrachFEM失效模型, 仿真精度

Abstract: Vehicle engine mounts have crucial influence on side rail deformation in frontal impact. In order to correctly predict the fracture failure behavior of engine mounts, a mechanical property test on cast aluminum material is conducted. Cast aluminum material card with failure criteria is set up based on CrachFEM tenacity failure criteria. Through the drop hammer test and simulation, the correctness of cast material card and the reliability of engine mounts modeling are verified. The results of vehicle crash simulation show that CrachFEM failure model can accurately simulate the fracture failure process of engine mounts, enable the deformation mode of side rail and the acceleration responses of car body closer to test results and enhance the accuracy of engine crash simulation, providing simulation assesement means for crashworthiness development.

Key words: cast aluminum mounts, crash failure prediction, CrachFEM failure model, simulation accuracy