Optimization For Turbo Machine Blade Based On Parallel Genetic Algorithm

Turbo machine, which has a very wide range of applications, is playing an important role in various areas of the national economy. As a key component of the turbo machine, blade's shape significantly affects the aerodynamic performance of the turbo machine. In the basis of the research group's work, this paper studied the aerodynamic optimization method of the turbo machine blade, and conducted an automatically optimization of the turbo machine blade by synthesizing viscous body force calculation method, commercial CFD software, multi-parametric modeling methods and the parallel genetic algorithm.This paper is divided into the following sections:In the first part, based on blade element momentum theory this paper researched on three-dimensional aerodynamic performance computer program of wind machines, and improves prediction accuracy by leading in various correction factors and stall delay model.The second part, for low-speed wind turbine blade design study, this paper carried out a preliminary attempt. Firstly, establish the initial blade shape, then to optimize the chord length and the installation angle of the blade by using genetic algorithm on the basis of the blade element theory calculations. Finally, finalize the three-dimensional modeling of the optimized wind wheel, and using CFD method to conduct in-depth analysis of the design point. The results of the numerical study proved that the optimized wind turbine blade has a good aerodynamic performance at low wind speed. The third part carried on numerical simulation about the large industrial cooling fan. Then to optimize the airfoil of the wind turbine blade with the aim of improving the lift-drag ratio at different attack angles under the premise of ensuing a high accuracy of the simulation, and applied the optimization results to practical engineering.The last part is about the fan/compressor blades in the optimization. This paper improved the multi-parametric method, and coupled it with genetic algorithm and flow field calculation to the optimization design of airfoil and blade thus increased the optimization efficiency. It got some valuable conclusions, proved the feasibility and high efficiency of the optimization method by testing examples, and laid the foundation for a deeper research for the future.