Acoustic impedance of perforated plates in the presence of bias flow
Acoustic impedance of perforated plates in the presence of bias flow
复制标题
存在偏流时穿孔板的声阻抗
DOI：
10.1016/j.jsv.2019.01.031
复制
发表时间：
2019-04
影响因子：
4.7
通讯作者：
Huang Hongpu
中科院分区：
文献类型：
--
作者：
Chen Zhixiang;Ji Zhenlin;Huang Hongpu
穿孔板的声阻抗受流体流过孔口的影响。采用三维(3-D)时间域计算流体动力学(CFD)方法计算了有偏流穿孔板的声阻抗，提出了穿孔板声阻抗的提取方法。预测了孔口的无量纲声阻抗，数值预测结果与已有文献中的测量结果吻合较好，验证了CFD方法的有效性。对不同偏流马赫数Mo(0.0 5~0.2 0)、孔板分布形式、孔板厚度与直径之比(0.2~0.5)、流过孔板的雷诺数和孔板孔隙率φ(4.5 1%~2 4.93%)进行了数值计算。详细分析了相关参数对孔口无量纲声阻抗的影响。通过对各种参数研究结果的非线性回归分析，得到了声阻抗的表达式。作为工程计算的应用，采用Jing和Sun模型和本模型，通过有限元计算，预测了横流穿孔管式消声器的传递损失。实测值与预测值的比较表明，该模型具有较高的精度。
The acoustic impedance of perforated plates is influenced by fluid flow through the orifice. The present study employs the three-dimensional (3-D) time-domain computational fluid dynamics (CFD) approach to determine the acoustic impedance of perforated plates with bias flow, and the extraction method of acoustic impedance of perforated plates is presented. The non-dimensional acoustic impedance of orifices is predicted, and the good agreement between the numerical predictions and the measurements in published literature validates the present CFD approach. The numerical evaluations are carried out for different bias flow Mach numberMo(0.05–0.20) through the orifice, distribution form of the orifices, the ratiot/dh(0.2–0.5) of orifice thickness to diameter, Reynolds numberReof flow through the orifice and porosityφ(4.51%–24.93%) of the perforated plates. The effects of related parameters on the non-dimensional acoustic impedance of orifices are analyzed in detail. The expressions of acoustic impedance are obtained by using nonlinear regression analysis of the various results of the parametric studies. As an application of engineering calculation, the transmission loss (TL) of cross-flow perforated tube mufflers with flow is predicted by using Jing and Sun model and the present model via finite element computations. The comparison between measured and predicted values showed the accuracy of the present model.
登录
查看更多内容
影响因子：
2.8
作者：
V. Nair;E. Alenius;Susann Boij;Gunilla Efraimsson
通讯作者：
V. Nair;E. Alenius;Susann Boij;Gunilla Efraimsson
影响因子：
4.7
作者：
Claus Lahiri;F. Bake
通讯作者：
Claus Lahiri;F. Bake
影响因子：
2.4
作者：
J. W. Sullivan
通讯作者：
J. W. Sullivan
影响因子：
4.7
作者：
Seong-Hyun Lee;J. Ih;K. Peat
通讯作者：
Seong-Hyun Lee;J. Ih;K. Peat
影响因子：
4.7
作者：
E. Alenius;M. Åbom;L. Fuchs
通讯作者：
E. Alenius;M. Åbom;L. Fuchs