Title :
Cascade airfoil design by multiobjective genetic algorithms
Author :
Obayashi, Shigeru ; Tsukahara, Takanori ; Nakamura, Takashi
Author_Institution :
Dept. of Aeronaut. & Space Eng., Tohoku Univ., Sendai, Japan
Abstract :
Multiobjective genetic algorithm 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 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 airfoil were obtained
Keywords :
aerospace computing; Fonseca-Fleming ranking; Navier-Stokes code; Pareto ranking; aerodynamic shape optimization; cascade airfoil design; fitness sharing; multiobjective genetic algorithms; numerical wind tunnel; parallel vector machine;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971150
