Advisor

Newman, James C., III

Committee Member

Hyams, Daniel G.

Committee Member

Whitfield, David

Committee Member

Janus, J. Mark

Date of Degree

1-1-2001

Document Type

Graduate Thesis - Open Access

Major

Computational Engineering (program)

Degree Name

Master of Science

College

College of Engineering

Abstract

A pre-optimizer has been developed which modifies existing turbomachinery blades to create new geometries with improved selected aerodynamic coefficients calculated using a linear panel method. These blade rows can then be further refined using a Navier-Stokes method for evaluation. This pre-optimizer was developed in hopes of reducing the overall CPU time required for optimization when using only Navier-Stokes evaluations. The primary method chosen to effect this optimization is a parallel evolutionary algorithm. Variations of this method have been analyzed and compared for convergence and degree of improvement. Test cases involved both single and multiple row turbomachinery. For each case, both single and multiple criteria fitness evaluations were used.

URI

https://hdl.handle.net/11668/20173

Comments

optimization||turbomachinery||evolutionary algorithm||genetic algorithm||hybrid algorithm||aerodynamics||parallelization

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