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基于DOE和MIGA的消声器优化设计

张俊红 朱传峰 毕凤荣 王健 何文运 李忠鹏

张俊红, 朱传峰, 毕凤荣, 王健, 何文运, 李忠鹏. 基于DOE和MIGA的消声器优化设计[J]. 机械科学与技术, 2016, 35(2): 296-302. doi: 10.13433/j.cnki.1003-8728.2016.0224
引用本文: 张俊红, 朱传峰, 毕凤荣, 王健, 何文运, 李忠鹏. 基于DOE和MIGA的消声器优化设计[J]. 机械科学与技术, 2016, 35(2): 296-302. doi: 10.13433/j.cnki.1003-8728.2016.0224
Zhang Junhong, Zhu Chuanfeng, Bi Fengrong, Wang Jian, He Wenyun, Li Zhongpeng. Optimization Design of Muffler Based on Design of Experiment and Multi-Island Genetic Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(2): 296-302. doi: 10.13433/j.cnki.1003-8728.2016.0224
Citation: Zhang Junhong, Zhu Chuanfeng, Bi Fengrong, Wang Jian, He Wenyun, Li Zhongpeng. Optimization Design of Muffler Based on Design of Experiment and Multi-Island Genetic Algorithm[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(2): 296-302. doi: 10.13433/j.cnki.1003-8728.2016.0224

基于DOE和MIGA的消声器优化设计

doi: 10.13433/j.cnki.1003-8728.2016.0224
基金项目: 

国家高技术研究发展计划(863计划)项目(2014AA041501)资助

详细信息
    作者简介:

    张俊红(1962-),教授,研究方向为动力机械振动与噪声控制及结构优化设计,zhangjh@tju.edu.cn

Optimization Design of Muffler Based on Design of Experiment and Multi-Island Genetic Algorithm

  • 摘要: 高效率的设计出大消声量的消声器一直是车辆排气噪声控制中面临的难题。考虑到消声器优化过程中涉及参数较多,在消声器传递损失数值建模的基础上,采用试验设计(DOE)中的拉丁超立方设计对消声器参数进行分析,结合多岛遗传算法(MIGA)和传统遗传算法(GA)分别建立消声器在排气噪声单峰值频率和多峰值频率处的传递损失为目标的优化模型,开展消声器传递损失优化设计研究。结果表明:DOE方法能有效的辨识出各参数对消声器传递损失影响的大小,简化了消声器的优化模型。MIGA对消声器在单峰值频率和多峰值频率的优化都优于GA,且多峰值频率的优化好于单峰值频率的优化,能使排气噪声最大降低20.98 dB。
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出版历程
  • 收稿日期:  2014-03-25
  • 刊出日期:  2016-02-05

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