This work presents numerical optimization for design of a blade stacking line of a low speed axial flow fan with a fast and elitist Non-Dominated Sorting of Genetic Algorithm (NSGA-II) of multi-objective optimization using three-dimensional Navier-Stokes analysis. Reynolds-averaged Navier-Stokes (RANS) equations with k-ε turbulence model are discretized with finite volume approximations and solved on unstructured grids. Regression analysis is performed to get second order polynomial response which is used to generate Pareto optimal front with help of NSGA-II and local search strategy with weighted sum approach to refine the result obtained by NSGA-II to get better Pareto optimal front. Four geometric variables related to spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find higher performed fan blade. The performance is measured in terms of the objectives; total efficiency, total pressure and torque. Hence the motive of the optimization is to enhance total efficiency and total pressure and to reduce torque.
ASME/JSME 2007 5th Joint Fluids Engineering Conference
July 30–August 2, 2007
San Diego, California, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
0-7918-4289-4
PROCEEDINGS PAPER
Multi Objective Optimization of a Turbomachinery Blade Using NSGA-II
Abdus Samad
,
Abdus Samad
Inha University, Incheon, South Korea
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Kwang-Yong Kim
,
Kwang-Yong Kim
Inha University, Incheon, South Korea
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Ki-Sang Lee
Ki-Sang Lee
Inha University, Incheon, South Korea
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Author Information
Abdus Samad
Inha University, Incheon, South Korea
Kwang-Yong Kim
Inha University, Incheon, South Korea
Ki-Sang Lee
Inha University, Incheon, South Korea
Paper No:
FEDSM2007-37434, pp. 885-891; 7 pages
Published Online:
March 30, 2009
Citation
Samad, Abdus, Kim, Kwang-Yong, and Lee, Ki-Sang. "Multi Objective Optimization of a Turbomachinery Blade Using NSGA-II." Proceedings of the ASME/JSME 2007 5th Joint Fluids Engineering Conference. Volume 2: Fora, Parts A and B. San Diego, California, USA. July 30–August 2, 2007. pp. 885-891. ASME. https://doi.org/10.1115/FEDSM2007-37434
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