Qualification: 
M.E
s_raju@cb.amrita.edu

Srinivasan Raju currently serves as Adjunct Professor at Department of Mechanical Engineering, School of Engineering, Coimbatore Campus. His areas of research include NVH, Fatigue and Emissions CAE in Automobile Engineering.

Thrust Area of Research

NVH, Fatigue and Emissions CAE in Automobile Engineering.

Teaching/Research Interests

Major Subjects Taught:

  • NVH, Fatigue and Emissions CAE in Automobile Engineering.

Publications

Publication Type: Journal Article

Year of Publication Title

2015

R. Shyam and Srinivasan Raju, “Fatigue analysis of metallic leaf spring and its optimization-using fea and doe techniques”, International Journal of Applied Engineering Research, vol. 10, no. 16, pp. 37043-37047, 2015.[Abstract]


One of the most frequently encountered problems in mechanical products is fatigue, accounting for more than 90 % of product failure. Suspension system is a safety critical one in the vehicle. One of the most important components in a vehicle system is the suspension. Leaf spring suspension system is one of the oldest and most widely used suspension systems in the world. Wide application of leaf spring in heavy vehicles is due to its inherent advantages like high load bearing capacity, low production cost and easy maintenance. But the leaf spring, under long term cyclic repeated loads have to be designed for fatigue. This project work covers the analysis of fatigue life of metallic leaf spring and its optimization with the help of statistical analysis. The concept of FACTORIAL TESTING is applied to find the key parameters governing the strength of the leaf spring assembly. The key parameters are optimized and analyzed using finite element approach. The natural frequencies and mode shapes are very important in a leaf spring design as it influences the vibration and performance of the spring. This work covers a MODAL ANALYSIS of the leaf spring.

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2015

S. Pa Murali, Srinivasan 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.[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.

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