Multi-objective optimization and design rule mining for an aerodynamically efficient and stable centrifugal impeller with a vaned diffuser

Engineering Optimization

Volumn 42, Issue 3, 2010, Pages 271-293

  Sugimura, K ^a   Obayashi, S ^b   Jeong, S ^b  

^a HITACHI LTD   (Japan)

^b TOHOKU UNIVERSITY   (Japan)

Author keywords

Centrifugal impeller; Decision tree analysis; Design rule; Multi objective optimization; Rough set theory

Indexed keywords

AERODYNAMIC EFFICIENCY; AERODYNAMIC LOAD DISTRIBUTIONS; CENTRIFUGAL IMPELLER; COMPROMISE SOLUTIONS; DECISION TREE ANALYSIS; DESIGN RULE; DESIGN RULES; DESIGN VARIABLES; DISTRIBUTED FLOW; FLOW UNIFORMITY; INTERACTION EFFECT; MAIN EFFECT; MULTI-OBJECTIVE GENETIC ALGORITHM; NONDOMINATED SOLUTIONS; QUANTITATIVE DESIGN; TIME-AVERAGED; VANED DIFFUSER;

AERODYNAMIC STABILITY; AERODYNAMICS; CENTRIFUGATION; DECISION TREES; DESIGN; MINING; MULTIOBJECTIVE OPTIMIZATION;

ROUGH SET THEORY;

EID: 77951130820     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150903171084     Document Type: Article

References (15)

1. Benini, E. and Tourlidakis, A., 2001. Design optimization of vaned diffusers for centrifugal compressors using genetic algorithm. Proceedings of AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, 12-22 July, Salt Lake City, UT, USA. Paper AIAA-2001-2583.
2. Fonseca, C.M. and Fleming, P.J., 1993. Genetic algorithms for multi-objective optimization: Formulation, discussion and generalization. Proceedings of the 5th international conference on genetic algorithms, 17-22 July, Urbana- Champaign, IL, USA. San Mateo, CA: Morgan Kaufmann Publishers, Inc., 416-423.
3. Gen, M. and Cheng, R., 2000. Genetic algorithms and engineering optimization. NewYork: JohnWiley & Sons, Inc.
4. Khelladi, S., Kouidri, S., Bakir, F. and Rey, R., 2005. Flow study in the impeller-diffuser interface of a vaned centrifugal fan. Journal of Fluids Engineering, 127, 495-502. (Pubitemid 41048157)
5. Obayashi, S., Jeong, S. and Chiba, K., 2005. Multi-objective design exploration for aerodynamic configurations. Proceedings of AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit. 10-13 July, Tucson, AZ, USA. Paper AIAA 2005-4666.
6. Obayashi S., 2006. Data mining for multi-objective optimization using rough sets. Proceedings of Grant-in Aid for Scientific Research Symposium - Aerodynamics Team (in Japanese), 26-27 January,Yamanashi, Japan. Tokyo: Japan Society for Aeronautical and Space Sciences, Aerodynamics Technical Committee, 70-73.
7. Oyama, A., Fujii, K., Shimoyama, K. and Liou, M., 2005. Pareto-optimality-based constraint-handling technique and its application to compressor design. Proceedings of AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhbit. 10-13 July, Tucson, AZ, USA. Paper AIAA2005-4983.
8. Øhrn, A., 1999. Discernibility and rough sets in medicine: Tools and applications. Thesis (PhD). Department of Computer and Information Science. Norwegian University of Science andTechnology,Trondheim, Norway.NTNUreport 1999: 133, IDI report 1999: 14, ISBN 82-7984-014-1.
9. Øhrn A., 2006. ROSETTA Technical Reference Manual [online]. Available from: http://rosetta.lcb.uu.se/general/ resources/manual.pdf [Accessed 12 February 2006].
10. Pawlak, Z., 1982. Rough sets. International Journal of Computer and Information Sciences, 11 (5), 341-356.
11. Samareh, J.A., 1999. Status and future of geometry modelling and grid generation for design and optimization. Journal of Aircraft, 36 (1), 97-104.
12. Samareh, J.A., 2001. Survey of shape parameterization techniques for high-fidelity multidisciplinary shape optimization. AIAA Journal, 39 (5), 877-884.
13. SAS Institute, JMP 6. Available from: http://www.jmp.com/ [Accessed 1 April 2006].
14. Sugimura, K., 2006.Aerodynamic shape optimization and knowledge mining of centrifugal fans using simulated annealing coupled with a neural network. Proceedings of ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Paper DETC-2006-99189), 10-13 September, Philadelphia, PA, USA.
15. Witten, I.H. and Frank, E., 2005. Data mining. San Francisco: Morgan Kaufmann, chapter 6, 189-199.