Optimal Design of Transonic Fan Blade Leading Edge Shape Using CFD and Simultaneous Perturbation Stochastic Approximation Method
Name
HPCES015.pdf
Size
259.63 KB
Format
Adobe PDF
Checksum (MD5)
05a73fe2ca3e87577d35930c88db53be
Author(s)
Xing, X.Q.
Damodaran, Murali
Date Issued
January 2002
Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Abstract
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
Subjects
global optimization
simultaneous perturbation stochastic approximation method
simulated annealing
transonic fan design
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