Endwall Profile Design for the Durham Cascade using Genetic Algorithms

MacPherson, Richard; Ingram, Grant

Abstract

This paper describes a system for designing profiled endwalls for the Durham Cascade, a well known turbomachinery test case. A genetic algorithm coupled with “off the shelf” software was used, a commercial flow solver (Fluent) was used to run the designs and a high level interpreted language (Octave) was used to implement the genetic algorithms. A candidate profiled endwall was produced using the design system which minimised the amount of secondary kinetic energy within the blade passage by up to 30%. The strength of the passage vortex was reduced and combined with the suction side horseshoe vortex. The formation of the corner vortex was encouraged which opposed overturning at the endwall surface.

Citation

MacPherson, R., & Ingram, G. (2010, January). Endwall Profile Design for the Durham Cascade using Genetic Algorithms. Presented at Seventh South African Conference on Computational and Applied Mechanics, SACAM10, Pretoria, South Africa

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Seventh South African Conference on Computational and Applied Mechanics, SACAM10
• Publication Date: 2010-01
• Public URL: https://durham-repository.worktribe.com/output/1160645