Publication Type:

Journal Article

Source:

International Journal of Applied Engineering Research, Research India Publications, Volume 10, Number 16, p.38077-38080 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84942058477&partnerID=40&md5=b80b210653028c39d4e46d3da637e534

Abstract:

The acoustic performance is one of the major product differentiator for products like compressors, internal combustion engines pumps etc. The intake system is a major source of noise in these products. The prediction of acoustic parameters during the design stage will help in optimizing the intake system to suit the noise characteristics of the sound source. The transfer matrix method is one of the most efficient methods for the prediction of acoustical performance of a muffler system. There are analytical solutions available for some simple geometries and the acoustical performance of these can be calculated very easily. But for complex geometries with no verified analytical solution the prediction of acoustic parameters require physical testing or complex numerical analysis. An intake system is made of multiple parts and as many of these parts are reused in multiple models and since the transfer matrix of subsequent geometries can be multiplied to obtain the transfer matrix of the whole system; the transfer matrix of such parts can be reused in future analysis and calculations. Many commercial FEA softwares calculate the Transmission loss directly without using the transfer matrix. So the extraction of transfer matrix has been done using a hybrid of the two load testing method and Finite element analysis. For verification of the transfer matrix, TL has been calculated using the extracted transfer matrix and compared with the transmission loss obtained directly from the FEA analysis. © Research India Publications.

Notes:

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Cite this Research Publication

S. Pa Murali, S.a Raju, and Jeyaselvan, Mb, “Transfer matrix extraction from finite element analysis of acoustic mufflers”, International Journal of Applied Engineering Research, vol. 10, pp. 38077-38080, 2015.