Modal Analysis of Exhaust System to Optimize Mounting Hanger Location

Modal Analysis of Exhaust System to Optimize Mounting Hanger Location
Authors : Chetan D. Gaonkar
Publication Date: 09-03-2015


Author(s):  Chetan D. Gaonkar

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 4 - Issue 03 (March - 2015)

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV4IS030050


An exhaust system with a superior performance becomes unserviceable if its durability is insufficient, for example, due to excessive level vibrations. This excessive level of vibration caused by various excitation forces from engine and road surfaces are transferred on to the exhaust hangers which plays a vital role in clamping the exhaust systems in proper place, thus damaging the hangers much before its service life. Hence it becomes obligatory for NVH engineers to optimize the hanger location so that it undergoes minimum damage, thus increasing its durability. This paper presents a modal analysis approach for optimizing the hanger location using FEA and comparing the results with experimental modal analysis. For FEA technique, Hypermesh was used as a pre and post processor whereas Nastran was used as a solver. The methodology adopted here was to determine node and antinode points on the exhaust system so that the mounting hangers can be shifted to node points. Hence after the identification of critical frequencies, its mode shapes were analyzed to identify optimum hanger location. Further the results were compared by performing experimental modal analysis using LMS Data Acquisition System.


Number of Citations for this article:  Data not Available


Key Word(s):    


Number of Downloads:     971

7   Paper(s) Found related to your topic:    

Call for Papers - May - 2017



                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book