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黄麻纤维毡吸声模型构建与试验验证
引用本文:林萍,徐晓美,吴晓莉,Lee Heow Pueh.黄麻纤维毡吸声模型构建与试验验证[J].噪声与振动控制,2021(2):232-236,266.
作者姓名:林萍  徐晓美  吴晓莉  Lee Heow Pueh
作者单位:南京林业大学汽车与交通工程学院;新加坡国立大学机械工程系
基金项目:国家自然科学基金资助项目(51605228);江苏省第十四批“六大人才高峰”资助项目(JXQC-025)。
摘    要:为更好地指导黄麻纤维毡的产品设计与应用,开展基于JCA吸声模型的黄麻纤维毡声学有限元模型构建与验证研究。利用阻抗管测取黄麻纤维毡吸声系数,并辨识出用JCA吸声模型表征的黄麻纤维毡相关物理特征参数,基于所建立黄麻纤维毡声学有限元模型获取其吸声系数和声压、声能分布。研究表明,黄麻纤维毡在高频率范围内具有较好吸声性能,其在中、低频范围内的吸声系数随频率的增加近似呈线性增加;JCA吸声模型能较好描述黄麻纤维毡吸声性能;基于COMSOL软件所建立黄麻纤维毡声学有限元模型是可靠的,可用于植物纤维材料吸声性能的仿真分析。

关 键 词:声学  吸声系数  黄麻纤维毡  有限元  试验验证

Establishment and Experimental Verification of the Sound Absorption Model of Jute Fiber Felts
Affiliation:(College of Automobile and Traffic Engineering,Nanjing Forestry University,Nanjing 210037,China;Department of Mechanical Engineering,National University of Singapore,Singapore 117576,Singapore)
Abstract:In order to guide the product design and application of the jute fiber felt,its acoustic finite element model based on Johnson-Champoux-Allard(JCA)law is constructed and verified by experiments.Firstly,the sound absorption coefficient of the jute fiber felt is measured by an impedance tube,and its relevant physical characteristic parameters characterized by the JCA law are identified.Based on the established acoustic finite element model,the sound absorption coefficient,the sound pressure level and the sound energy distribution of the jute fiber felt are obtained.Research results show that the jute felt has a good sound absorption performance in the high frequency range,and in the middle and low frequency range the sound absorption coefficient increases linearly with the increase of frequency.The sound absorption performance of jute fiber felt can be described by the JCA sound absorption model.It is concluded that the established acoustic finite element model of jute fiber felt based on COMSOL software is reliable and can be used to simulate and analyze the sound absorption performance of the plant fiber materials.
Keywords:acoustics  sound absorption coefficient  jute fiber felt  finite element  experimental verification
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