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    Aerodynamic shape optimization of fan blades

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    MQ35083.pdf (5.955Mb)
    Date
    1998-10-01
    Author
    Rogalsky, Timothy P.
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    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.
    URI
    http://hdl.handle.net/1993/1676
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    • FGS - Electronic Theses and Practica [25494]

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