Studies of Multipoint Optimization of Transonic Stators

A Multidisciplinary Design Optimization code was developed for NASA Stator 37. 3 different RANS solvers, Spalart-Allmaras, K-ε, and K-ω, were compared to design data to determine which was the fastest without significant error. K-ω was shown to be the most accurate, while only being 13.3% slower than Spalart-Allmaras and 17% faster than K-ε. Variable stator blades were added to an optimized blade geometry and compared to a design case where the stator blade angle was a part of the design vector. The optimized blade without variable stator blades was able to reduce total pressure loss to be 66.5% of the starting point, while adding in variable stator blades only reduced total pressure loss to 77.5% of the starting point.

Grantor dc:publisher

University of Kansas

Year dc:date.issued

2018

Author dc:creator

• Patterson, Matthew

Advisor dc:contributor.advisor

• Farokhi, Saeed

• Aerospace engineering
• Genetic Algorithm
• Optimization
• Stator
• Transonic
• Turbomachinery

Statement dc:rights

• Copyright held by the author.

Language dc:language.iso

en

Dc Identifier Other

http://dissertations.umi.com/ku:16045

OAI identifier oai:identifier

oai:kuscholarworks.ku.edu:1808/37302