Turbomachinery Blade Design Using a Navier–Stokes Solver and Artificial Neural Network

[+] Author and Article Information
S. Pierret, R. A. Van den Braembussche

Turbomachinery Department, von Karman Institute for Fluid Dynamics, Rhode-Saint-Genèse, Belgium

J. Turbomach 121(2), 326-332 (Apr 01, 1999) (7 pages) doi:10.1115/1.2841318 History: Received February 01, 1998; Online January 29, 2008


This paper describes a knowledge-based method for the automatic design of more efficient turbine blades. An Artificial Neural Network (ANN) is used to construct an approximate model (response surface) using a database containing Navier–Stokes solutions for all previous designs. This approximate model is used for the optimization, by means of Simulated Annealing (SA), of the blade geometry, which is then analyzed by a Navier–Stokes solver. This procedure results in a considerable speed-up of the design process by reducing both the interventions of the operator and the computational effort. It is also shown how such a method allows the design of more efficient blades while satisfying both the aerodynamic and mechanical constraints. The method has been applied to different types of two-dimensional turbine blades, of which three examples are presented in this paper.

Copyright © 1999 by The American Society of Mechanical Engineers
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