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http://dx.doi.org/10.3795/KSME-B.2002.26.10.1341

Shape Optimization of Cut-Off in a Multi-blade Fan/Scroll System Using Neural Network  

Han, Seog-Young (한양대학교 기계공학부)
Maeng, Joo-Sung (한양대학교 기계공학부)
Yoo, Dal-Hyun (한양대학교 대학원 기계공학과)
Jin, Kyong-Uk (한양대학교 대학원 자동차공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers B / v.26, no.10, 2002 , pp. 1341-1347 More about this Journal
Abstract
In order to improve efficiency of a system with three-dimensional flow characteristics, this paper presents a new method that overcomes three-dimensional effects by using two-dimensional CFD and neural network. The method was applied to shape optimization of cut-off in a multi-blade fan/scroll system. As the entrance conditions of two-dimensional CFD, the experimental values at the positions out of the inactive zone were used. The distributions of velocity and pressure obtained by two-dimensional CFD were compared with those of three-dimensional CFD and experimental results. It was found that the distributions of velocity and pressure have qualitative similarity. The results of two-dimensional CFD were used for teaming as target values of neural network. The optimal angle and radius of cut-off were determined as 71$^{\circ}$and 0.092 times the outer diameter of impeller, respectively. It is quantified in the previous report that the optimal angle and radius of cut-off are approximately 72$^{\circ}$and 0.08 times the outer diameter of impeller, respectively.
Keywords
Multi-blade Fan; Cut-Off; Inactive Zone; Neural Network; Optimization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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