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Multi-Objective Shape Optimization of an Axial Fan Blade  

Samad, Abdus (Department of Mechanical Engineering, Inha University)
Lee, Ki-Sang (Department of Mechanical Engineering, Inha University)
Kim, Kwang-Yong (Department of Mechanical Engineering, Inha University)
Publication Information
International Journal of Air-Conditioning and Refrigeration / v.16, no.1, 2008 , pp. 1-8 More about this Journal
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 is presented in this work. Reynolds-averaged Navier-Stokes(RANS) equations with ${\kappa}-{\varepsilon}$ 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.
Axial fan; Stacking line; RANS analysis; Optimization; NSGA-II;
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