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Titolo:
Multiobjective genetic algorithm applied to aerodynamic design of cascade airfoils
Autore:
Obayashi, S; Tsukahara, T; Nakamura, T;
Indirizzi:
Tohoku Univ, Dept Aeronaut & Space Engn, Sendai, Miyagi 9808579, Japan Tohoku Univ Sendai Miyagi Japan 9808579 gn, Sendai, Miyagi 9808579, Japan Fuji Heavy Ind Ltd, Aerosp Div, Utsunomiya Plant, Utsunomiya, Tochigi 3208564, Japan Fuji Heavy Ind Ltd Utsunomiya Tochigi Japan 3208564 ochigi 3208564, Japan Natl Aerosp Lab, Chofu, Tokyo 1828522, Japan Natl Aerosp Lab Chofu Tokyo Japan 1828522 ab, Chofu, Tokyo 1828522, Japan
Titolo Testata:
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
fascicolo: 1, volume: 47, anno: 2000,
pagine: 211 - 216
SICI:
0278-0046(200002)47:1<211:MGAATA>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
COMPRESSOR;
Keywords:
aerodynamics; compressors; design automation; gas turbines; genetic algorithms; optimization methods; Pareto distributions;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Obayashi, S Tohoku Univ, Dept Aeronaut & Space Engn, Sendai, Miyagi 9808579, Japan Tohoku Univ Sendai Miyagi Japan 9808579 Miyagi 9808579, Japan
Citazione:
S. Obayashi et al., "Multiobjective genetic algorithm applied to aerodynamic design of cascade airfoils", IEEE IND E, 47(1), 2000, pp. 211-216

Abstract

A multiobjective genetic algorithm (GA) based on Fonseca-Fleming's Pareto-based ranking and fitness-sharing techniques has been applied to aerodynamic shape optimization of cascade airfoil design. Airfoil performance is evaluated by a Navier-Stokes code. Evaluation of GA population is parallelized on the Numerical Wind Tunnel, a parallel vector machine. The present multiobjective design seeks high pressure rise, high flow turning angle, and low total pressure loss at a low Mach number. Pareto solutions that perform better than existing control diffusion airfoils were obtained.

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Documento generato il 14/08/20 alle ore 07:29:36