DESIGN OF HELICOPTER TRANSMISSION OIL COOLING FAN IMPELLER WITH MULTI-OBJECTIVE OPTIMIZATION METHOD

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2023-1-18

Author

Avşar, Gökhan

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This study aims to optimize the impeller geometry of a backward-curved blade centrifugal fan in a helicopter oil cooler to improve the aerodynamic performance of the impeller. The study consists of three main parts: aerodynamic design and parametrization of the impeller, numerical analysis of impeller performance, and multi-objective design optimization to maximize fan static pressure and total to static isentropic efficiency. In the first part, a one-dimensional impeller design is performed using quasi-experimental methods and a direct optimization method with the multi-objective genetic algorithm, and the impeller geometry is parameterized through a commercial tool. The three-dimensional flow through the impeller is solved in the second part with a commercial computational fluid dynamics tool. The Reynolds-Averaged Navier-Stokes equations are solved on a multi-block grid, and a second-order accurate finite volume method is employed. The most appropriate turbulence model and grid size are selected considering time, cost, and fidelity. In the third part, a sensitivity analysis is performed with the design-of-experiment method, and the parameters that affect the objective function most significantly are determined. A multi-objective design optimization based on a non-dominated sorting genetic algorithm is performed with the Kriging Response Surface Method, and pareto optimal solutions are obtained. Results show that, at the design point, there is a 9.6% and 0.96% increase in the fan static pressure and total to static isentropic efficiency, respectively. The trained Kriging response surface model predicts the fan static pressure and total to static isentropic efficiency with an error of 0.12% and 0.33%, respectively.

Subject Keywords

Design Optimization, Multi-objective optimization, Genetics Algorithm, NSGA-II,

URI

https://hdl.handle.net/11511/102064

Collections

Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Avşar, “DESIGN OF HELICOPTER TRANSMISSION OIL COOLING FAN IMPELLER WITH MULTI-OBJECTIVE OPTIMIZATION METHOD,” M.S. - Master of Science, Middle East Technical University, 2023.