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dc.contributor.author Rogalsky, Timothy P. en_US
dc.date.accessioned 2007-05-18T12:16:41Z
dc.date.available 2007-05-18T12:16:41Z
dc.date.issued 1998-10-01T00:00:00Z en_US
dc.identifier.uri http://hdl.handle.net/1993/1676
dc.description.abstract The purpose of this work is to develop and evaluate an inverse optimization algorithm which designs two-dimensional fan blade shapes. Given a prescribed pressure distribution and inlet and outlet flow angles, this design optimization technique finds the optimal fan blade shape, stagger angle, and pitch/chord ratio. The algorithm is coded into a completely self-contained C++ program. Its three main components are: a surface vorticity panel method flow solver, a Bezier curve surface definition routine, and an optimization method. Three different optimizers are tested and compared. A relatively new genetic algorithm, Differential Evolution, is determined to be the most effective. To demonstrate the abilities of the aerodynamic shape optimization algorithm, several fan blades are designed to exhibit a Liebeck pressure distribution. For each design, the optimal fan blade spacing is also found, verifying theoretically a claim that until now has been supported experimentally and with simple modelling. en_US
dc.format.extent 6244728 bytes
dc.format.extent 184 bytes
dc.format.mimetype application/pdf
dc.format.mimetype text/plain
dc.language en en_US
dc.language.iso en_US
dc.rights info:eu-repo/semantics/openAccess
dc.title Aerodynamic shape optimization of fan blades en_US
dc.type info:eu-repo/semantics/masterThesis
dc.type master thesis en_US
dc.degree.discipline Mathematics en_US
dc.degree.level Master of Science (M.Sc.) en_US


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