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Application of Artificial Neural Networks to the Design of Turbomachinery AirfoilsArtificial neural networks are widely used in engineering applications, such as control, pattern recognition, plant modeling and condition monitoring to name just a few. In this seminar we will explore the possibility of applying neural networks to aerodynamic design, in particular, the design of turbomachinery airfoils. The principle idea behind this effort is to represent the design space using a neural network (within some parameter limits), and then to employ an optimization procedure to search this space for a solution that exhibits optimal performance characteristics. Results obtained for design problems in two spatial dimensions will be presented.
Document ID
20070002487
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Rai, Man Mohan
(NASA Ames Research Center Moffett Field, CA, United States)
Madavan, Nateri
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 1997
Subject Category
Aerodynamics
Meeting Information
Meeting: Pratt and Whitney Seminar
Location: West Palm Beach, FL
Country: United States
Start Date: August 21, 1997
Funding Number(s)
PROJECT: RTOP 519-40-42
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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