Aerodynamic shape optimization of fan blades

dc.contributor.authorRogalsky, Timothy P.en_US
dc.date.accessioned2007-05-18T12:16:41Z
dc.date.available2007-05-18T12:16:41Z
dc.date.issued1998-10-01T00:00:00Zen_US
dc.degree.disciplineMathematicsen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe 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.extent6244728 bytes
dc.format.extent184 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.identifier.urihttp://hdl.handle.net/1993/1676
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.titleAerodynamic shape optimization of fan bladesen_US
dc.typemaster thesisen_US
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