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http://dx.doi.org/10.5293/kfma.2013.16.1.011

A Study on the Design Method to Optimize an Impeller of Centrifugal Compressor  

Cho, Soo-Yong (경상대학교 항공기부품기술연구센터)
Lee, Young-Duk (한국기계연구원 환경에너지연구본부)
Ahn, Kook-Young (한국기계연구원 환경에너지연구본부)
Kim, Young-Cheol (한국기계연구원 시스템다이나믹스연구실)
Publication Information
The KSFM Journal of Fluid Machinery / v.16, no.1, 2013 , pp. 11-16 More about this Journal
Abstract
A numerical study was conducted to improve the performance of an impeller of centrifugal compressor. Nine design variables were chosen with constraints. Only meridional contours and blade profile were adjusted. ANN (Artificial Neural Net) was adopted as a main optimization algorithm with PSO (Particle Swarm Optimization) in order to reduce the optimization time. At first, ANN was learned and trained with the design variable sets which were obtained using DOE (Design of Experiment). This ANN was continuously improved its accuracy for each generation of which population was one hundred. New design variable set in each generation was selected using a non-gradient based method of PSO in order to obtain the global optimized result. After $7^{th}$ generation, the prediction difference of efficiency and pressure ratio between ANN and CFD was less than 0.6%. From more than 1,200 design variable sets, a pareto of efficiency versus pressure ratio was obtained and an optimized result was selected based on the multi-objective function. On this optimized impeller, the efficiency and pressure ratio were improved by 1% and 9.3%, respectively.
Keywords
Centrifugal Compressor; Optimization; Artificial Neural Net; Design of Experiment; Impeller Design;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Aungier, R. H., 2000, "Centrifugal Compressor," ASME Press.
2 Bonaiuti, D. and Pediroda, V., 2001, "Aero-dynamic Optimization of an Industrial Centrifugal Compressor Impeller Using Genetic Algorithms," Proceedings of Eurogen 2001.
3 Bonaiuti, D, Arnone, A., Ermini, M. Baldassarre, L., 2002, "Analysis and Optimization of Transonic Centrifugal Compressor Impellers Using the Design of Experimental Technique," GT-2002-30619.
4 김세미, 박준영, 안국영, 백제현, 2007, "반응면기법을 이용한 원심압축기 최적설계," 한국전산유체공학 추계학술대회, pp. 92-199.
5 Bonaiuti, D. and Zangeneh, M., 2009, "On the Coupling of Inverse Design and Optimization Techniques for the Multi-objective, Multipoint Design of Turbo-machinery Blades," J. of Turbomachinery, Vol. 131, 021014-1.   DOI   ScienceOn
6 Verstraete, T., Alsalihi, Z. and Braembussche, R.A.V., 2010, "Multidisciplinary Optimization of a Radial Compressor for Microgas Turbine Applications," J. of Turbomachinery, Vol. 132, 031004-1.   DOI   ScienceOn
7 Kim, J. H.. Choi, J. H., Husain, A. and Kim, K. Y., 2010, "Multi-Objective Optimization of a Centrifugal Compressor Impeller Through Evolutionary Algorithms," Proc. IMechE Vol. 224, Paer A:J. Power and Energy, pp. 711-721.   DOI   ScienceOn
8 CFX-13, 2011, version 13, Ansys Inc.
9 최형준, 박영하, 안국영, 조수용, 2011, "원심압축기 최적화를 위한 연구 I-형상변수 및 설계변수에 관한연구," 항공우주학회지, Vol. 39, No. 5, pp. 424-432.
10 Hagan, M. T., and Menhaj. M., 1999, "Training Feed- Forward Networks with the Marquardt Algorithm," IEEE Transactions on Neural Networks, Vol. 5, No. 6, pp. 989-993.
11 Hagan, M. T., Demuth, H. B. and Beale, M. H., 1996., "Neural Network Design," Boston, MA: PWS Publishing,
12 Beale, M. H., Haga, M. T. and Demuth, H. B., 2012. "Neural Network Toolbox, User's Guide," Matlab R2012a.
13 Venter, G. and Sobieski, J., 2002, "Particle Swarm Optimization," AIAA 2002-1235.
14 Cumpsty, N. A., 1989, "Compressor Aero-dynamics," Longman Group UK.
15 Whitfield, A. and Baines, N. C., 1990, "Design of Radial Turbomachines," Longman Group UK.