Optimal Design of Transonic Fan Blade Leading Edge Shape Using CFD and Simultaneous Perturbation Stochastic Approximation Method
Author(s)
Xing, X.Q.; Damodaran, Murali![Thumbnail](/bitstream/handle/1721.1/4019/HPCES015.pdf.jpg?sequence=4&isAllowed=y)
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Show full item recordAbstract
Simultaneous Perturbation Stochastic Approximation method has attracted considerable application in many different areas such as statistical parameter estimation, feedback control, simulation-based optimization, signal & image processing, and experimental design. In this paper, its performance as a viable optimization tool is demonstrated by applying it first to a simple wing geometry design problem for which the objective function is described by an empirical formula from aircraft design practice and then it is used in a transonic fan blade design problem in which the objective function is not represented by any explicit function but is estimated at each design iteration by a computational fluid dynamics algorithm for solving the Navier-Stokes equations
Date issued
2002-01Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Keywords
global optimization, simultaneous perturbation stochastic approximation method, simulated annealing, transonic fan design