井下微型水轮机流场分析与优化设计

围绕煤矿综采工作面液压系统液压能量利用率低、控制电路冗杂等难题，提出了一种水轮机与发电机集成化设计的方法，对提出的水轮机进行参数分析及结构设计，结合水轮机压差和转速的流场分析结果，通过正交试验、神经网络和遗传算法，实现了不同叶轮宽度、叶轮间隙、基圆直径、入口角度、进出口相对位置和喷嘴尺寸结构参数下水轮机转速和效率的多目标优化设计。通过样机测试试验，优化后整体效率有明显提升，平均效率值提高了2.94%;最大效率值由15.6%提高至21.5%。可为小型水轮机的理论和试验研究提供支持。

Flow Field Analysis and Optimization Design of Downhole Micro-turbine

In this research, a method of integrated design of turbine and generator is proposed for the problems of low utilization rate of hydraulic energy and complicated control circuit in the hydraulic system of fully mechanized coal mining face, the analysis of parameters and structural design of the proposed turbine were thus carried out. By combing with the results of the flow field analysis of the pressure difference and rotational speed of the turbine, the multiobjective optimization design of turbine speed and efficiency under different impeller width, impeller clearance, base circle diameter, inlet angle, relative position of inlet and outlet, nozzle size and structural parameters were realized though the using of the orthogonal test, neural network and genetic algorithm. The overall efficiency has been significantly improved after optimization-the average efficiency value has increased by 2.94% and the maximum efficiency value has increased from 15.6% to 21.5% through the prototype test, which can provide support for theoretical and experimental research on small hydro turbines.