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Multi-objectives Optimization on Exhaust Muffler Based on DoE

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4 Author(s)
Hua Huang ; Sch. of Automotive Studies, Tongji Univ., Shanghai, China ; Jimin Ni ; Qianying Du ; Nan Xie

For one exhaust muffler, this paper researches its performance of flow and noise. Muffler' comprehensive evaluation system and DoE development flow are built. RBF mathematical models of evaluated objectives are established to look for Pareto optimal solutions. According to design request, this paper chooses and evaluates optimized projects from Pareto solutions. The result shows that in low and middle speed anechoic effect of optimized Project-6 enhances more, volume efficiency and power decrease less, and the comprehensive performance is best.

Published in:

Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on

Date of Conference:

17-19 Aug. 2012