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.
2004
Conference Proceedings
ASME Turbo Expo 2004: Power for Land, Sea, and Air
Vienna, Austria
14-17 June
Arnone, Andrea; Bonaiuti, Duccio; Focacci, Antonio; Pacciani, ROberto; Scotti Del Greco, Alberto; Spano, Ennio
File in questo prodotto:
File Dimensione Formato  
GT2004-54308.pdf

Accesso chiuso

Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 1.15 MB
Formato Adobe PDF
1.15 MB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/241811
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 22
  • ???jsp.display-item.citation.isi??? ND
social impact