• CN:11-2187/TH
  • ISSN:0577-6686

›› 2012, Vol. 48 ›› Issue (8): 194-198.

• 论文 • 上一篇    

橡胶压缩性在悬置结构有限元分析中的应用

康一坡;霍福祥;魏德永   

  1. 中国第一汽车股份有限公司技术中心
  • 发布日期:2012-04-20

Application of Rubber Compressibility on Mount Finite Element Analysis

KANG Yipo;HUO Fuxiang;WEI Deyong   

  1. Research & Development Center, China FAW Co., Ltd.
  • Published:2012-04-20

摘要: 合理修正橡胶压缩性对于正确进行橡胶悬置结构有限元分析具有重要意义。以圆柱型橡胶悬置为研究对象,进行悬置径向刚度的有限元分析与试验,通过对比可知,假设橡胶材料为不可压缩或接近不可压缩时,悬置的计算刚度远大于试验刚度,有限元计算存在较大误差。针对以上问题分析,提出进行橡胶体积可压缩性修正的必要性。采用调整橡胶材料泊松比的方法修正橡胶可压缩性,当悬置计算刚度与试验刚度吻合较好时,橡胶可压缩修正模型的泊松比应为0.42。应用修正的橡胶材料模型对悬置结构进行优化改进,并对改进结构进行刚度有限元分析与试验,结果表明,改进结构的刚度计算曲线与试验曲线变化趋势基本一致,吻合较好。从而验证了橡胶体积可压缩模型修正方法合理,具有一定的工程应用价值。

关键词: 泊松比, 刚度, 可压缩性, 橡胶, 有限元法, 3D打印, 仿生制造, 脑组织, 微结构

Abstract: The rubber compressibility has an important effect on the finite element analysis(FEA) of the rubber mount stiffness. The cylindrical rubber mount is analyzed as an studied object, and the radial stiffness of it is obtained using the finite element method supposing the rubber is incompressible and the radial stiffness is tested on the rig. The calculated stiffness is compared with the tested, and the result is that the calculated is not accorded with the tested very well, the offset is bigger. Based on above depictions, the viewpoint is put forward that the rubber compressibility should be modified properly. The poisson ration is adjusted to modify the compressible model, and when the stiffness from FEA are approximately consisted with that from the experiment, the poisson ration should be 0.42 for the modified rubber model. And then, the rubber compressible model is used on improving the mount, and to analyze the stiffness. At the same time, the experiments were done to verify it. The comparative results are that the FEA stiffness and the tested stiffness of the modified structure is approximately accordant, so it shows the modified method of the rubber compressible model is reasonable, and can be applied to the engineering.

Key words: Compressibility, Finite element method, Poisson ration, Rubber, Stiffness, 3D printing, Bionic Manufacturing, Brain tissue, Microstructure

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