Research On Automated Blocking Strategy & Structured Grid Auto-generation For Cooling Turbine Blade

In order to achieve higher levels of efficiency of turbine blade computational fluid dynamics(CFD)numerical computation,the model of turbine blade system based on parameter control was developed,this system can achieve the function of the modeling,the division of computational domain and the structured grid generation automatically,which will simplify the blade design greatly.The mesh file that is generated automatically can be applied to numerical simulation calculation,the result show that the system can reduce labor operation without any loss in the precision of blade numerical computation which improves the grid-generation efficiency greatly.Model can be rebuilt quickly only by changing the corresponding parameters,which can shorten the blade design period and increase reutilization of blade design.In order to improve the efficiency of structured mesh generation,an approach towards automatic blocking applied into turbine blade is presented,based on the parameters of parameterized model,the envelope planes can be calculated respectively,the hexahedral topology is constructed by generating the auxiliary planes in the computational domain,which can be used for the structured mesh generation.This paper presents a concept for computational grid optimization performed by decomposing complex domain into simpler parts by filling virtual structures.The results show that this strategy contributes to less manual intervention and shorter mesh generation period,and it can be used for turbine blades that have the same structures,which is very helpful for the automatic optimization of blade design.A set of division quality evaluation system is presented,based on which optimal division of geometry can be resolved using genetic algorithm.Two optimization methods of automatic partition are proposed by taking turbine blade concave side as an example.one method is serial optimization which can produce optimized partitions sequentially,the other one is overall optimization which can optimize all partitions at the same time.The results show that these two methods can determine the optimal partition of turbine blades quickly and automatically,which can greatly improve the efficiency and high quality of the grid generation compared with manual operation.The quality of the various partitions produced by the serial optimization method has large difference.The quality of the partitions obtained by the overall optimization is more balanced and more efficient.This study provides an efficient and intelligent method for complex structured grid auto-blocking.