Method for calculating sound absorption coefficient of the sound absorbing materials in the automobile cab

被引：0

作者：

School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China ^{[1
]}

不详 ^{[2
]}

机构：

[1] School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology

[2] School of Mechatronics Engineering, Henan University of Science and Technology

来源：

Liu, G. (liugangtian@126.com) | 1600年 / Chinese Mechanical Engineering Society卷 / 50期

关键词：

Automobile cab; Flow resistivity; Porosity; Sound absorbing coefficient;

D O I：

10.3901/JME.2014.12.104

中图分类号：

学科分类号：

摘要：

A simple method to calculate sound absorption coefficient of the sound absorbing materials of the automobile cab is proposed. Based on the acoustic impedance arrangement of the sound absorbing materials, the formula for resistivity and porosity flow of the sound absorbing materials is obtained; then Matlab cycle is used to calculate flow resistivity and porosity, and based on the obtained figures, sound absorption coefficient of the sound absorbing materials in the automobile cab can be calculated theoretically; thus providing a simple method for the calculation of sound absorption coefficient of the sound absorbing materials in the automobile cab in theory. At the same time, the relationship of the sound absorption coefficient of the material, the resistivity, porosity and thickness and incident wave frequency of the sound-absorbing material is studied. Under the low frequency, the sound absorption coefficient and porosity and thickness is proportional. When the incident sound wave is in the range of 0-500 Hz, the coefficient of the cab sound absorption material decreases slightly with resistivity but the rate of decline is not significant; with the increasing frequency of incident sound wave, the sound absorption coefficient of the cab sound-absorbing material generally has an upward trend. © 2014 Journal of Mechanical Engineering.

引用

页码：104 / 109

页数：5

共 15 条

[1]

Giovanni D.M., Alain M., Paul E., Dynamic control of DHM for ergonomic assessments, International Journal of Industrial Ergonomics, 43, 2, pp. 170-180, (2013)

[2]

Atsuko E., Noriaki Y., Tatsuya S., Automatic estimation of the ergonomics parameters of assembly operations, CIRP Annals-Manufacturing Technology, 62, 1, pp. 13-16, (2013)

[3]

Ma T., Gao G., Wang D., Et al., Response analysis of interior structure noise in lower frequency based on structure-acoustic coupling model, Journal of Mechanical Engineering, 47, 15, pp. 76-82, (2011)

[4]

Yang S., Zhao Z., Improved wavelet denoising using neighboring coefficients and its application to machinery fault diagnosis, Journal of Mechanical Engineering, 49, 17, pp. 137-141, (2013)

[5]

Jin Y.J., Jong K.R., Yong H.K., Influence of absorption properties of materials on the accuracy of simulated acoustical measures in 1:10 scale model test, Applied Acoustics, 70, 4, pp. 615-625, (2009)

[6]

Liu G., Ji X., Minimum active sound absorption method study based on the reflected sound pressure of piezoelectric materials, Journal of Mechanical Engineering, 48, 13, pp. 141-145, (2012)

[7]

Jianli L., Wei B., Lei S., General regression neural network for prediction of sound absorption coefficients of sandwich structure nonwoven absorbers, Applied Acoustics, 76, 1, pp. 128-137, (2014)

[8]

Chris B., Murray H., Field measurement of the acoustical and airflow performance of interior natural-ventilation openings and silencers, Building and Environment, 67, pp. 265-273, (2013)

[9]

Zhang Z., Ni X., Xu Z., Et al., Research on improvement of cab acoustic characteristics using damping material, Journal of Mechanical Engineering, 48, 16, pp. 36-40, (2012)

[10]

Mendez S., Eldredge J.D., Acoustic modeling of perforated plates with bias flow for large-eddy simulations, Journal of Computational Physics, 228, 13, pp. 4757-4772, (2009)

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