Optimization of Cavitation Performance of Hydrofoil Based on LEM-CST Method
It is of great significance to develop anti-cavitation airfoil with excellent hydraulic performance for optimization of marine ship power plant.In this paper,NACA66(MOD)hydrofoil is taken as the referenced airfoil.Firstly,the airfoil geometry is parameterized based on the LEM-CST method,and the training sample library is constructed by using the optimal Latin hypercube sampling method.Secondly,the lift-drag ratio and the minimum pressure coefficient are taken as the optimization targets,and BP neural network proxy model is used to establish the mapping relationship from airfoil geometry to optimization targets.Finally,the airfoil is optimized by genetic algorithm,and the cavitation flow field of the optimized airfoil is calculated and analyzed by CFD.The results show that:① The fitting accuracy of LEM-CST parameterization method is higher than that of the popular original CST parameterization method;② Compared with the NACA66(MOD)hydrofoil after optimization,the lift-drag ratio and the minimum pressure coefficient of the optimized airfoil are increased by 6.9％and 21.6％respectively under the same working condition;③ The cavitation flow field calculation shows that the dimensionless cavitation area of the new hydrofoil is reduced by 9.2％,and the anti-cavitation ability is improved.
NETL
NSTL
万方数据
