A Hybrid Acoustic Model for Composite Materials Composed of Fibers and High Surface Area Particles
参考中译:纤维/高比表面积颗粒复合材料的混合声学模型


     

文集名：2021 SAE Noise and Vibration Conference & Exhibition
作者：Zhuang Mo（Purdue University）
Tongyang Shi（3M Company）
Seungkyu Lee（3M Company）
Yongbeom Seo（3M Company）
J. Stuart Bolton（Purdue University）
会议名：2021 SAE Noise and Vibration Conference & Exhibition
会议日期：September 7-10, 2021
会议地点：Grand Rapids, Michigan, USA
出版年：2021
页码：2021-01-1127-1--2021-01-1127-8
总页数：8
馆藏号：SAE2021(4)
分类号：U464-53/S678/(2021)
语种：eng
文摘：High surface area particles have drawn attention in the context of noise control due to their good sound absorption performance at low frequencies, which is an advantage compared with more traditional materials. That observation suggests that there is a good potential to use these particles in various scenarios, especially where low frequency noise is the main concern. To facilitate their application, composite materials are formed by dispersing particles within a fiber matrix, thus giving more flexibility in positioning those particles. In this work, a hybrid model that combines a model for limp porous materials and a model of high surface area particles is proposed to describe the acoustic performance of such composites. Two-microphone standing wave tube test results for several types of composites with different thickness, basis weight, and particle concentration are provided. An optimization procedure based on the particle swarm algorithm is introduced to identify the input parameters of the proposed model by minimizing the difference between measured and predicted absorption coefficients. Comparisons between the model predictions made using the optimized parameters and the measurements are shown in this paper, which demonstrates that the proposed model can predict the acoustic performance of the composites with reasonable input parameters.
参考中译：高比表面积颗粒由于其在低频下良好的吸声性能而在噪声控制方面引起了人们的关注，这与更传统的材料相比是一个优势。这一观察表明，在各种情况下使用这些颗粒是很有潜力的，特别是在低频噪音是主要担忧的情况下。为了方便它们的应用，复合材料是通过将颗粒分散在纤维基质中形成的，从而在定位这些颗粒时提供了更大的灵活性。在这项工作中，提出了一种混合模型来描述这种复合材料的声学性能，该模型结合了软弱多孔材料模型和高比表面积颗粒模型。给出了几种不同厚度、不同定量和不同颗粒浓度的复合材料的双传声器驻波管测试结果。提出了一种基于粒子群算法的优化算法，通过最小化模型的实测值和预测值之间的差异来辨识模型的输入参数。将优化后的模型预测结果与实测值进行了比较，结果表明，在合理输入参数的情况下，该模型可以预测复合材料的声学性能。

注：参考中译为机器自动翻译，仅供参考。



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