Proceedings of the Korean Society of Propulsion Engineers Conference (한국추진공학회:학술대회논문집)
- 2008.03a
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- Pages.686-689
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- 2008
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- 1975-342X(pISSN)
Numerical Optimization of the Turbine Blade Leaning Angle Using the Parallel Genetic Algorithm
- Lee, Eun-Seok (Korean Aerospace Research Institute) ;
- Jeong, Yong-Hyun (Korean Aerospace Research Institute) ;
- Park, Soon-Young (Korean Aerospace Research Institute)
- Published : 2008.03.30
Abstract
The leaning angle optimization of turbine blade using the genetic algorithm was conducted in this paper. The calculation CFD technique was based upon the Diagonalized Alternating Directional Implicit scheme(DADI) with algebraic turbulence modeling. The leaning angle of VKI turbine blade was represented using B-spline curve. The control points are the design variable. Genetic algorithm was taken into account as an optimization tool. The objective was to minimize the total pressure loss. The optimized final geometry shows the better aerodynamic performance compared with the initial turbine blade.