Vision Stability Analysis of Rear-View Mirror Based on ABAQUS

doi:10.3969/j.issn.1674-0696.2013.01.33

Abstract

Abstract: Traditional methods can not control the dynamic performance of rear-view mirror in the early stages． The advanced structural design work only can be done based on experience without knowing the specific dynamic performance． CAE method was used to shorten the development cycle and to reduce the development costs． In CAE analysis，the FEA model was simplified reasonably． Mirror angle method was first used in preparing for the post-processing． In the end，the experiment was done to confirm the FEA method．

Key words: rear-view mirror, simulation, FEA, vision stability

摘要： 传统试验方法无法在前期阶段控制后视镜的动态性能,或只能依据经验进行结构设计,无法得知其具体的结构动态性能。运用CAE 分析方法在结构设计完成之后进行动态性能分析从而缩短开发周期,节约开发成本。CAE 分析中,对模型进行了合理简化,建立了镜面转角法,为CAE 后期处理做好准备,实验与有限元分析并进从而证明了CAE 方法的可行性。

关键词: 后视镜, 仿真, 有限元分析, 视野稳定性

CLC Number:

Ge Ruhai,Gao Hongfan. Vision Stability Analysis of Rear-View Mirror Based on ABAQUS[J]. Journal of Chongqing Jiaotong University(Natural Science), 2013, 32(1): 143-146.

葛如海，高宏范. 基于ABAQUS的汽车后视镜视野稳定性仿真分析[J]. 重庆交通大学学报（自然科学版）, 2013, 32(1): 143-146.

References

[1]GB 15084—2006 机动车辆后视镜的性能和安装要求［S］.北京: 中国标准出版社，2 006．
GB 15084—2006 Motor Vehicles-Rear view mirrors-Reguirements of Rerformance and Installation［S］.Beijing: China stamdard press， 2006．
[2]方瑞华，徐苏斌.后视镜振动抖动光学性能评价方法研究［J］．汽车技术，2 007( 12) : 18-20．
Fang Ruihua，Xu Subin.Research on Evaluation Method of Dithering Optical Performance of Rear View Mirror’s Vibration［J］.Automobile Technology，2007( 12) : 18-20．
[3]EDS-T-3414 Inside ＆ Outside Rear View Mirror［S］.Pupyong， South Korea: Engineering Standard Secretariat Technical Center， 2000．
[4]徐明，方瑞华.汽车内后视镜支架有限元模型的分析与评价［J］.机械设计与制造， 2008( 5) : 1-3．
Xu Ming，Fang Ruihua.The analysis and evaluation of the bracket in the interior rear-view mirror［J］.Machinery Design ＆ Manufacture， 2008( 5) : 1-3．
[5]张义民.机械振动［M］.北京: 清华大学出版社，2 007: 187-227．
Zhang Yimin.Mechanical vibration［M］.Beijing: Tsinghua University press， 2007: 187-227．
[6]石亦平，周玉蓉.ABAQUS 有限元分析实例详解［M］.北京: 机械工业出版社， 2006: 283-300．
Shi Yiping，Zhou Yurong.The ABAQUS Finite Elament Analysis Examyles［M］.Beijing: China Water Power Press，2006: 283-300．
[7]赵腾伦.ABAQUS6.6 在机械工程中的应用［M］.北京: 中国水利水电出版社， 2007: 113-145．
Zhao Tenglun.Application of ABAQUS 6.6 in Mechanical Engineering ［M］.Beijing: China Waterpower Press，2007: 113-145．
[8]濮良贵，纪名刚.机械设计［M］.北京: 高等教育出版社， 2006．
Pu Lianggui， Ji Ming gang.MeChie De sign［M］.Beijing: Higher Edu cation press，  2006．

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