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Acoustic Performance of Exhaust Muffler based Genetic Algorithms and Artificial Neural Network

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Author(s): Wang Bing | Wang Xiao Li

Journal: TELKOMNIKA
ISSN 1693-6930

Volume: 11;
Issue: 2;
Start page: 313;
Date: 2013;
Original page

Keywords: acoustic performance | genetic algorithm | neural network | noise

ABSTRACT
The noise level was one of the important indicators as a measure of the quality and performance of the diesel engine, exhaust noise in diesel engines machine noise accounted for an important proportion of installed performance exhaust mufflerwas an effective way to control exhaust noise. This article using orthogonal test program was to the muffler structure parameters as input to the sound pressure level and diesel fuel each output artificial neural network (BP network) learning sample. Matlab artificial neural network toolbox to complete the training of the network, and better noise performance and fuel consumption rate performance muffler internal structure parameters combination was obtained through genetic algorithm gifted collaborative validation of artificial neural networks and genetic algorithms to optimize application exhaust muffler design is entirely feasible
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