A statistical method for predicting sound absorbing property of porous metal materials by using quartet structure generation set

作者：Guan Dong; Wu Jiu Hui^*; Jing Li

来源：Journal of Alloys and Compounds, 2015, 626: 29-34.

DOI：10.1016/j.jallcom.2014.11.159

• Porous metal materials
• Statistical method
• Quartet structure generation set
• Sound absorbing property

In this paper, a statistical method for predicting sound absorption properties of porous metal materials is presented. To reflect the stochastic distribution characteristics of the porous metal materials, a random internal morphology and structure generation-growth method, termed as the quartet structure generation set (QSGS), has been utilized based on the stochastic cluster growth theory for numerical generating the various microstructures of porous metal materials. Then by using the transfer-function approach along with the QSGS tool, we investigate the sound absorbing performance of porous metal materials with complex stochastic geometries. The statistical method has been validated by the good agreement among the numerical results for metal rubber from this method and a previous empirical model and the corresponding experimental data. Furthermore, the effects of different parameters such as thickness and porosity on sound absorption performance of the generated structures are studied by the present method, and the obtained results are validated by an empirical model as well. Therefore, the present method is a reliable and robust method for predicting the sound absorption performance of porous metal materials, and could be utilized to guide the design and fabrication of the sound-absorption porous metal materials.

• 出版日期2015-3-25
• 单位西安交通大学