Investigation on Multi-objective Performance Optimization Algorithm Application of Fan Based on Response Surface Method and Entropy Method

被引:0
|
作者
ZHANG Li [1 ]
WU Kexin [2 ]
LIU Yang [2 ]
机构
[1] Department of Application & Engineering, Zhejiang Economic & Trade Polytechnical University
[2] Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University
关键词
small fan; response surface method; entropy method; multi-objective optimization;
D O I
暂无
中图分类号
TH432.1 [轴流式];
学科分类号
080704 ;
摘要
A multi-objective performance optimization method is proposed, and the problem that single structural parameters of small fan balance the optimization between the static characteristics and the aerodynamic noise is solved.In this method, three structural parameters are selected as the optimization variables. Besides, the static pressure efficiency and the aerodynamic noise of the fan are regarded as the multi-objective performance. Furthermore, the response surface method and the entropy method are used to establish the optimization function between the optimization variables and the multi-objective performances. Finally, the optimized model is found when the optimization function reaches its maximum value. Experimental data shows that the optimized model not only enhances the static characteristics of the fan but also obviously reduces the noise. The results of the study will provide some reference for the optimization of multi-objective performance of other types of rotating machinery.
引用
收藏
页码:533 / 539
页数:7
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