现代制造工程 ›› 2024, Vol. 522 ›› Issue (3): 62-69.doi: 10.16731/j.cnki.1671-3133.2024.03.009

• 车辆工程制造技术 • 上一篇    下一篇

某车型排气系统隔振性能及优化研究*

张国顺1,2, 罗建国1,2, 张建1,2, 傅爱军1,2, 杨晋博1,2   

  1. 1 广西科技大学机械与汽车工程学院,柳州 545006;
    2 广西科技大学柳州市汽车排气控制技术重点实验室,柳州 545006
  • 收稿日期:2023-05-15 出版日期:2024-03-18 发布日期:2024-05-31
  • 作者简介:张国顺,硕士研究生,主要研究方向为汽车结构设计与分析。E-mail:1414543201@qq.com
  • 基金资助:
    * 数字化条件下汽车供应链生态系统的构建与应用项目(桂科AB22035085);广西科技重大专项项目(桂科AA22068055)

Research on vibration isolation performance and optimization of exhaust system of a certain model

ZHANG Guoshun1,2, LUO Jianguo1,2, ZHANG Jian1,2, FU Aijun1,2, YANG Jinbo1,2   

  1. 1 School of Mechanical and Automotive Engineering,Guangxi University of Science and Technology, Liuzhou 545006,China;
    2 Liuzhou Key Laboratory of Automotive Exhaust Control Technology,Guangxi University of Science and Technology,Liuzhou 545006,China
  • Received:2023-05-15 Online:2024-03-18 Published:2024-05-31

摘要: 为提高某车型排气系统隔振性能,用HyperMesh软件构建排气系统有限元模型并对其进行隔振性能分析,经测试分析发现其传递力过大,通过重新设定将各个吊耳传递力之和及其标准差作为优化目标一;将各个吊耳静态位移之和与预载力标准差作为优化目标二。在HyperStudy软件中通过拉丁超立方采样并进行试验设计(Design of Experiments,DOE),以进行变量筛选,最终确定以6个吊耳的Z向动刚度作为设计变量,并构建响应面模型,用多目标遗传算法(Multi-Objective Genetic Algorithm,MOGA)得出最优的吊耳动刚度值。将最优的吊耳动刚度值代入排气系统有限元模型进行分析,结果表明优化目标均有所提升。最后,将实际生产的吊耳装载后在实际道路上进行测试,试验结果表明,隔振率均大于20 dB,与有限元结果相同,符合生产设计要求。

关键词: 排气系统, 拉丁超立方, 多目标遗传算法, 隔振率

Abstract: In order to improve the vibration isolation performance of exhaust system of a certain model,the finite element model of exhaust system was constructed with HyperMesh softwore and analyzed for vibration isolation performance. After testing and analysis, the transfer force is too large, the sum of the transfer force and the standard deviation of each ear were reset as the optimization target 1; and the sum of static displacement of each ear and the standard deviation of preload force were taken as the optimization objective 2. In HyperStudy softwore,the Z-direction stiffness of the six lifting lugs was finally determined by Latin hypercube sampling and DOE variable screening,and the response surface model was constructed,and the optimal lifting lug stiffness value was obtained by Multi-Objective Genetic Algorithm (MOGA). The best lifting lug stiffness value was brought into the finite element model of the exhaust system for further analysis,and the results show that the optimization target was improved. Finally,the actual production of lifting lugs was tested on the actual road after loading,and the test results show that the vibration isolation rate is greater than 20 dB, which is the same as the finite element result,which meets the production design requirements.

Key words: exhaust system, Latin hypercube, Multi-Objective Genetic Algorithm(MOGA), vibration isolation rate

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