Optimization Design of Muffler Based on DOE and Improved Simulated Annealing Algorithm

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (13) : 169-175.

Zhang Jun-hong，Zhu Chuan-feng ，Bi Feng-rong，Wang Jian， Li Zhong-peng

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Abstract

To improve the efficiency of muffler optimization，based on the effect of flow rate on the transmission loss numerical modeling of mufflers, whose parameters were analyzed by Latin hypercube design in experimental design (DOE), Combined with improved simulated annealing algorithm, the single objective and multi-objective optimization model were established respectively in the exhaust noise of peak frequency as the goal of transmission loss, then a research on muffler was launched. The result shows that the DOE method can effectively identify the parameters which affect muffler performance, and simplify the optimization model of muffler. The average velocity of the gas in muffler has great impact on the optimization results. The transmission loss of muffler corresponding to the peak frequency through single objective optimization can reach maximum, while multi-objective optimization can make overall optimization results better, and the maximum reduction of exhaust noise can be 31.73dB, which is better than the results of single objective optimization. This study provides a new way of optimization design of the muffler.

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experimental design / simulated annealing algorithm / muffler / optimization design

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Zhang Jun-hong，Zhu Chuan-feng,Bi Feng-rong，Wang Jian， Li Zhong-peng. Optimization Design of Muffler Based on DOE and Improved Simulated Annealing Algorithm[J]. Journal of Vibration and Shock, 2015, 34(13): 169-175

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