Optimal Design Of Kaplan Turbine Runner Blade

Along with the development of hydrodynamic and hydraulic machine design methods, people require higher over all efficiency turbine. Incompetent traditional methods are gradually off the stage; new three dimensional inverse problem design methods are becoming more and more popular. In this dissertation we can see that the combination of the genetic algorithm and three-dimensional inverse problem design method will obtain better results.In this dissertation an optimal design method , based on genetic algorithm and semi-three-dimensional inverse problem design method, has been used to improve the design of a Kaplan turbine blade. This method is applied to the design of runner geometry, considering the interaction between runner blades and flow field. It also has the advantage of niche genetic algorithm in solving multi-objective problems. Hence, by using this optimal design method we can obtain better runner blade compare to traditional design method.We first used the semi-three-dimensional inverse problem design method to get initial blade, then used niche genetic algorithm to optimize the initial blade, thus got the optimized blade. This process was achieved by FORTRAN language and CAD software.This method has been used to optimize ZZ440 runner blade, the results showed that the runner's cavitation and energy performance have been optimized, hence proved the effectiveness of this method.