叶轮
离心式压缩机
气体压缩机
计算机科学
人工神经网络
遗传算法
机械工程
工程类
空气压缩机
作者
Hyoung-Jun Choi,Young-Ha Park,Chae-Sil Kim,Soo-Yong Cho
出处
期刊:Journal of The Korean Society for Aeronautical & Space Sciences
日期:2011-05-01
卷期号:39 (5): 433-441
被引量:2
标识
DOI:10.5139/jksas.2011.39.5.433
摘要
The optimization of a centrifugal compressor was conducted. The ANN (Artificial Neural Network) was adopted as an optimization algorithm, and it was learned and trained with the DOE (Design of Experiment). In the DOE, it was predicted the main effect and the interaction effect of design variables to the objective function. The ANN was improved in the optimization process using the GA (Genetic Algorithm). When any output at each generation was reached a standard level, it was re-calculated by the CFD (Computational Fluid Dynamics) and it was applied to develop a new ANN. After 6th generation, the prediction difference between ANN and CFD was less than 1%. A pareto of the efficiency versus the pressure ratio was obtained through the 21th generation. Using this method, the computational time for the optimization was equivalent to the time consumed by the gradient method, and the optimized results of multi-objective function were obtained.
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