Optimization Design on Blade Profile of Governing Stage in Steam Turbine based on Peak Regulating Condition
The iterative optimization theory of genetic algorithm is used to optimize the NURBS curve of blade profile in governing stage.The optimized blade profile based on peak regulating condition is obtained.The flow pattern of internal flow field,the load distribution of stator blade and the development law of cascade losses are studied before and after blade profile optimization.The results show that after blade profile optimization,larger rotor blade leading edge diameter can effectively reduce the influence of steam attack angle on the flow field when the volume flow rate is small.The smoother suction surface and thinner exit edge can reduce the end wall loss in the cascade passage,which leads to the reduction of the influence area of secondary flow,the increase of blade load,the effective restraint of the boundary layer thickness on the blade surface,the reduction of blade profile loss,and the improvement of flow efficiency of the governing stage.The optimized blade not only improves the performance in the peak regulating condition,but also has good performance in the design condition.
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