BIONIC FAN OPTIMIZATION BASED ON TAGUCHI METHOD

被引：20

作者：

Chen, Shuming ^{[1
]}

Wang, Dengfeng ^{[1
]}

Sun, Shaoming ^{[2
]}

机构：

[1] Jilin Univ, State Key Lab Automot Dynam Simulat, Changchun 130022, Peoples R China

[2] Chinese Acad Sci, Key Lab Biomimet Sensing & Adv Robot Technol Anhu, Inst Intelligent Machines, Hefei 230031, Peoples R China

来源：

ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS | 2011年 / 5卷 / 03期

关键词：

vehicle; bionics; fan; computational fluid dynamics (CFD); design of experiment (DOE); orthogonal experiment; Taguchi method; MULTIOBJECTIVE OPTIMIZATION; INTERACTION NOISE; REDUCTION; DESIGN;

D O I：

10.1080/19942060.2011.11015373

中图分类号：

T [工业技术];

学科分类号：

120111 [工业工程];

摘要：

In this research, the multi-response optimization of mass flow rate and A-weighted SPL using Taguchi quality loss function has been done for bionic fan performance. The factors of the geometric parameters selected in this investigation are blade number, boss ratio, and blade stagger angle. The contribution of each parameter factor to the performance of bionic fan has been determined. The blade stagger angle has been found as the most effective factor and its contribution is 52.58% on multiple quality characteristics. The verification test has also been performed based on the optimum conditions predicted. The values of the mass flow rate and the A-weighted SPL at the optimum levels of the fan parameters are 0.4518 kg/s and 61.47 dB(A), respectively against the initial fan of 0.3438 kg/s and 70.50 dB(A). The mass flow rate and the A-weighted SPL have been increased by 0.1080 kg/s and decreased by 9.03 dB(A), respectively. The optimization results demonstrate considerable improvement in both mass flow rate and A-weighted SPL with the multiple response optimization combination, as compared with those of the initial fan.

引用

页码：302 / 314

页数：13

共 41 条

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Multi-objective optimization of some process parameters of a multi-gravity separator for chromite concentration [J].