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亥姆霍兹共振消声器的优化设计
引用本文:吕传茂,吕海峰,张晓光,王普浩.亥姆霍兹共振消声器的优化设计[J].声学技术,2020,39(2):230-234.
作者姓名:吕传茂  吕海峰  张晓光  王普浩
作者单位:中北大学机械工程学院, 山西太原 030051,中北大学机械工程学院, 山西太原 030051,中北大学机械工程学院, 山西太原 030051,中北大学机械工程学院, 山西太原 030051
基金项目:国家自然科学基金(5130549)
摘    要:亥姆霍兹消声器能够有效地抑制特定频率的低频噪声。设计了一种亥姆霍兹消声器,可以对频率在145 Hz处的噪声进行降噪处理。但是所设计的消声器的消声带宽较窄,因此需要在保证消声器共振频率不发生改变的情况下,将亥姆霍兹消声器的消声频带增大。使用遗传算法对亥姆霍兹消声器的结构参数进行优化,将优化后的结构进行仿真模拟。仿真结果表明消声器的消声带宽从32 Hz拓宽到了86 Hz。之后进行了实验验证,实验结果显示消声带宽从55 Hz增大到105 Hz,消声频带扩宽了91%,证明了优化结果的可行性,并且实现了宽频带的消声,为消声器的设计优化提供了参考。

关 键 词:亥姆霍兹消声器  低频噪声  消声带宽  遗传算法  结构优化
收稿时间:2019/7/22 0:00:00
修稿时间:2019/8/26 0:00:00

Optimization design of Helmholtz resonance muffler
LYU Chuanmao,LYU Haifeng,ZHANG Xiaoguang and WANG Puhao.Optimization design of Helmholtz resonance muffler[J].Technical Acoustics,2020,39(2):230-234.
Authors:LYU Chuanmao  LYU Haifeng  ZHANG Xiaoguang and WANG Puhao
Affiliation:School of Mechanical Engineering, North University of China, Taiyuan 030051, Shanxi, China,School of Mechanical Engineering, North University of China, Taiyuan 030051, Shanxi, China,School of Mechanical Engineering, North University of China, Taiyuan 030051, Shanxi, China and School of Mechanical Engineering, North University of China, Taiyuan 030051, Shanxi, China
Abstract:Helmholtz muffler can effectively suppress low-frequency noise in a specific frequency range. In this paper, a Helm-holtz muffler is designed, which can reduce the noise at 145 Hz. However, the muffler has narrow muffling band-width, which needs to be increased under the condition of keeping the same resonant frequency. The genetic algo-rithm is chosen to deal with Helmholtz muffler, and the structure parameters of the muffler are optimized. The sim-ulation of the optimized structure is carried out, and the results show that the muffling bandwidth is broadened from 32 Hz to 86 Hz. However, the experimental results show that the muffling bandwidth of the optimized muffler increases from 55 Hz to 105 Hz, i.e. broadened by 91%. This proves the feasibility of the optimized results, which achieves broadband muffling, and provides a reference for the optimization design of mufflers.
Keywords:Helmholtz muffler  low frequency noise  muffling bandwidth  genetic algorithm  structure optimization
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