一种求取混流水轮机小开度特性的新方法  

A New Method to Get the Characteristics of Francis Turbines under Small Opening Conditions

作　　者：赵林明[1] 王小红[1] 

机构地区：[1]河北工程大学水电学院,河北邯郸056021

出　　处：《应用基础与工程科学学报》2010年第1期35-39,共5页Journal of Basic Science and Engineering

基　　金：河北工程大学省重点建设学科基金资助

摘　　要：根据水轮机的基本理论,导出了混流式水轮机流量特性和力特性的表达式.在此基础上,以HL160水轮机为例,详细给出了根据水轮机的基本理论,采用数据拟合和人工神经网络方法,确定流量特性和力特性表达式中各种参数的方法.按照本文给出的方法,可以利用水轮机高效率区域特性和飞逸特性,求取水轮机的小开度特性,为采用数值分析方法分析水轮机的过渡过程提供了较为准确的边界条件.According to basic turbine theory, we developed the formulae of flow and torque characteristics for a Francis turbine. On this basis, taking the HL160 turbine as an example, a method was given to identify, using data fitting and artificial neural networks, the various parameters of the flow and torque characteristics given by the basic theory. In accordance with the method proposed by the paper, we could use the characteristics of the high efficiency and runaway regions to obtain the characteristics under small opening conditions of turbine. This provides more accurate boundary conditions for the simulation of turbine transients using numerical analysis.

关 键 词：混流水轮机 水轮机特性 数据拟合 人工神经网络 

分 类 号：TK730.2[交通运输工程—轮机工程]