Numerical optimization techniques are increasingly used in the aerodynamic design of turbomachine blades. In the present paper, an existing three-dimensional high-lift turbine cascade was redesigned by means of CFD analyses and optimization techniques, based on the blade geometrical parameterization. A new parametric design tool was developed for this purpose. Blade geometry was handled in a fully three dimensional way, using Bézier curves and surfaces for both camber-surface and thickness distribution. In the optimization procedure different techniques were adopted: a Genetic Algorithm (GA) strategy made it possible to considerably reduce two-dimensional profile losses, while the optimal stacking line was found based on a successive Design of Experiments (DOE) analysis. As a result, a new high-lift blade with higher performance was obtained; in addition, the effect of hub/tip leaning was presented and discussed.
Parametric Optimization of a High-Lift Turbine Vane / Arnone, Andrea; Bonaiuti, Duccio; Focacci, Antonio; Pacciani, ROberto; Scotti Del Greco, Alberto; Spano, Ennio. - ELETTRONICO. - 5: Turbo Expo 2004, Parts A and B, Turbomachinery, Axial Flow Turbine Aerodynamics:(2004), pp. 1469-1479. (Intervento presentato al convegno ASME Turbo Expo 2004: Power for Land, Sea, and Air tenutosi a Vienna, Austria nel 14-17 June) [10.1115/GT2004-54308].
Parametric Optimization of a High-Lift Turbine Vane
ARNONE, ANDREA;PACCIANI, ROBERTO;
2004
Abstract
Numerical optimization techniques are increasingly used in the aerodynamic design of turbomachine blades. In the present paper, an existing three-dimensional high-lift turbine cascade was redesigned by means of CFD analyses and optimization techniques, based on the blade geometrical parameterization. A new parametric design tool was developed for this purpose. Blade geometry was handled in a fully three dimensional way, using Bézier curves and surfaces for both camber-surface and thickness distribution. In the optimization procedure different techniques were adopted: a Genetic Algorithm (GA) strategy made it possible to considerably reduce two-dimensional profile losses, while the optimal stacking line was found based on a successive Design of Experiments (DOE) analysis. As a result, a new high-lift blade with higher performance was obtained; in addition, the effect of hub/tip leaning was presented and discussed.File | Dimensione | Formato | |
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