engleski

A turbulent flow shape optimization method for nozzle design

The paper presents a shape optimization method for nozzle design. Using commercial turbulent flow modeling software FLUENT and conjugate gradient method and genetic algorithm alternately, the energy losses, defined as the difference of total mechanical energy flux in inflow and outflow cross-sections, are minimized in the set of admissible nozzle shapes. The shape of the nozzle is parameterized by cubic Bezier spline, the coordinates of control points being optimizing parameters. The macro code has been developed that couples all three elements of the modeling and optimization process: preBFC automatic mesh generator, FLUENT turbulent k-e flow simulator and conjugate gradient and genetic algorithm optimization module. The analysis of the numerical results of the nozzle shape optimization leads to the main conclusion that a minimum number of two parameters are enough for the desired accuracy of the solution. Compared to the circular arc, the optimum shape is more concave, starting and ending with smaller curvature and with greater curvature in the middle part.

shape optimization; nozzle design; genetic algorithm

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