井下涡轮发电机叶片改型与优化设计  

Modification and Optimization Design of Blade for Down-hole Turbine Generator

作　　者：张晓东[1] 欧松 龚彦[1] 鲁慧萍 Zhang Xiaodong, Ou Song, Gong Yan, Lu Huiping School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China）

机构地区：[1]西南石油大学机电工程学院,成都610500

出　　处：《机械科学与技术》2018年第5期663-668,共6页Mechanical Science and Technology for Aerospace Engineering

基　　金：西南石油大学研究生创新基金项目(CXJJ2015017);四川省应用基础研究计划基金项目(2014JY0229)资助

摘　　要：为提高涡轮叶片效率和涡轮发电机的输出功率,提出一种叶片改型与优化设计的方法。分别对导轮型线和涡轮翼型进行改型,通过不同叶型的导轮和涡轮组合的CFD流场分析,研究不同结构的导轮对涡轮性能的影响,从中选择出高效率、大扭矩的叶轮组合,基于BP神经网络和Fmincon函数与遗传算法结合的方法对叶片进行优化分析,并对比试验数据验证了此方法的可行性。优化结果表明单级涡轮的效率增加了4.74%,最大工作效率由初始的64.824%提高至79.4%,提升了约14.6%,理想输出功率增加了274.7 W。To improve the efficiency of turbine blades and output power of turbine generators,a method for modifying blade and optimizing design was put forward. Firstly, the blade modification was in progress by remodeling the guide roller type lines and turbine airfoil profiles respectively,and matching guide rollers and turbine groups with different blade profiles. Then,the flow field analysis was conducted to investigate the effects of the different structures of guide rollers on the turbine performance. In this way,the high efficiency and large torque impeller combinations would be selected. Moreover,the combination of BP neural network and Fmincon function and genetic algorithm method was adopted to conduct optimized analysis. Specifically, the optimized results indicated that the efficiency of single stage turbine increased by 4. 74%. The maximum work efficiency increased from 64.824% to 79.4%,which improved about 14.6%. The ideal output power had improved by 274.7 W.

关 键 词：涡轮 导轮 叶片改型 流场分析 结构优化 

分 类 号：TG156[金属学及工艺—热处理]