Publication Date
2019
Document Type
Thesis
Committee Members
Mitch Wolff (Advisor), Rolf Sondergaard (Committee Member), Rory Roberts (Committee Member), Michael List (Other)
Degree Name
Master of Science in Mechanical Engineering (MSME)
Abstract
In turbomachinery design, complex internal flows give rise to significant losses and blockage whose effects are difficult to properly analyze without detailed computational fluid dynamics (CFD) methods or experiments. In a typical design method, CFD is used in conjunction with simpler throughflow or cascade codes to hasten the process. However, the lesser physical accuracy of the design codes demands the inclusion of models to improve the accuracy of the throughflow codes. This thesis aims to use CFD data to generate improved loss and blockage models for a 2D compressor throughflow code by matching throughflow data to CFD data using optimizations. This analysis gives insight into the connection between 3D flow features and design blockages and losses. This in turn forms the foundation for the behaviors required in the models for shocks, separations, and tip clearance flows, the implementation of which will improve the physical accuracy of the design code.
Page Count
195
Department or Program
Department of Mechanical and Materials Engineering
Year Degree Awarded
2019
Copyright
Copyright 2019, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
