Exhaust system optimization for drive-by noise
Published June 11, 2002 by Institution of Mechanical Engineers in United Kingdom
This paper studies the issue of optimizing exhaust tailpipe noise for drive by and customer tailpipe noise targets derived from vehicle sound quality targets using a range of experimental and analytical techniques. Transfer path analysis (TPA) and acoustic modelling are presented in a Genetic Algorithm (GA) optimization.
Transfer Path Analysis was used to predict the exhaust tailpipe noise contribution to the overall level measured during the drive by. Once the exhaust noise was shown to be a dominant source during drive by, the muffler design was improved using a genetic algorithm to search for an optimum design. An integrated approach was taken to simultaneously optimize the exhaust system design to meet drive-by and tail-pipe noise targets.