DocumentCode :
3312398
Title :
Multi-objectives Optimization on Exhaust Muffler Based on DoE
Author :
Huang, Hua ; Ni, Jimin ; Du, Qianying ; Xie, Nan
Author_Institution :
Sch. of Automotive Studies, Tongji Univ., Shanghai, China
fYear :
2012
fDate :
17-19 Aug. 2012
Firstpage :
29
Lastpage :
32
Abstract :
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.
Keywords :
Pareto optimisation; acoustic noise; design of experiments; exhaust systems; mathematical analysis; silencers; DoE development; Pareto optimal solutions; Pareto solutions; comprehensive performance; exhaust muffler; flow performance; muffler comprehensive evaluation system; multiobjectives optimization; noise; optimized Project-6; speed anechoic effect; Analytical models; Data models; Engines; Exhaust systems; Mathematical model; Noise; Solid modeling; DoE; comprehensive evaluation; evaluatied objectives; muffler;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
Type :
conf
DOI :
10.1109/ICCIS.2012.189
Filename :
6300014
Link To Document :
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