Research On Airfoil Optimization Of Vertical Axis Fan Based On CFD And Genetic Algorithm

Wind energy has increasingly become a hot spot of global concern due to its green,clean and abundant reserves.In the rapid development of wind power technology,the vertical axis wind turbine technology is more and more favored by domestic and foreign researchers due to its own advantages such as universal wind resistance,low noise,low center of gravity,and relatively convenient operation and maintenance.However,the wind energy utilization rate of the vertical axis fan is lower than that of the horizontal axis fan in practical applications,which limits its popularization and application.At present,the utilization rate of wind energy is mainly improved by wind wheel optimization design and airfoil optimization design.Based on this,this paper mainly focuses on the airfoil optimization of vertical axis wind turbines.Based on MATLAB,CFD and other platforms,this paper uses genetic optimization algorithm to optimize the aerodynamic performance of the vertical axis fan airfoil.The main work of the thesis includes: firstly,establish the airfoil parameterization method,and realize the parameterized program design based on MATLAB.Taking the initial airfoil NACA0012 as a calculation example,the feasibility of the parameterization method is verified;secondly,the initial airfoil parameterization method is based on the CFD method.The model is divided into grids and numerical simulation calculations,and the appropriate number of grids is determined through grid independence verification.With this method,the rise and rise of NACA0018 airfoil under different Reynolds numbers are calculated within the range of 0°～20° angle of attack.The drag coefficient is compared with the experimental data.It is found that the numerical simulation results are in good agreement with the experimental data,which proves the reliability of the flow field model in this paper.Finally,combined with the multi-island genetic algorithm to construct an automatic airfoil optimization evaluation plan,with the maximum lift-to-drag ratio In order to optimize the goal,the initial airfoil is optimized under specific conditions.The research results show that the optimized airfoil profile changes,the camber increases,the trailing edge angle decreases,and the lift-to-drag ratio increases by 17.78%,and the lift coefficient increases by 16.7%.In this paper,the research method of vertical axis fan airfoil optimization based on CFD and genetic algorithm is suitable for the optimization and analysis of aerodynamic performance of fan airfoil.The research results can provide a new method for vertical axis fan airfoil optimization.