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Please use this identifier to cite or link to this item: http://repository.fuoye.edu.ng/handle/123456789/2310

Title: Silencer Noise Minimization Using Linear Programming Technique
Authors: Bolaji, Bukola Olalekan
Onipede, A.I.M.
Keywords: Noise
Linear programming
Optimization
Silencer
Vehicle
Issue Date: 1-Dec-2005
Publisher: International Journal of Agricultural Sciences, Science, Environment and Technology (ASSET). Series B
Series/Report no.: 4;1
Abstract: This paper presents the process involved in the optimization of vehicle silencer in order to minimize the noise level of the exhaust gases. Various performance parameters of vehicle silencer were optimized using linear programming technique. The results obtained from the optimization process formed the parameters used for the construction of the new silencer. The optimized silencer was tested on selected motor cars and the results obtained revealed that, to the large extent, it is effective in minimizing the car exhaust noise level. An average noise level of 23.3 dB (experimental) was obtained using the optimized silencer as against 40.4 dB, obtained with the unmodified car silencer. The experimental value is however slightly higher than 21.2 dB which is the theoretical value obtained from optimization process. The average percentage of noise reduction is found to be 43.3 % and the process efficiency also is 89.1 %.
URI: http://repository.fuoye.edu.ng/handle/123456789/2310
Appears in Collections:Mechanical Journal Publications

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