液体涡轮流量传感器叶轮几何参数定量优化方法

以降低传感器特性受被测液体粘度变化的影响为目的，提出了液体涡轮流量传感器叶轮的多参数定量优化方法。该优化方法以叶片顶端间隙与管道半径之比、轮毂半径与叶片顶端半径之比、叶片均方根平均半径位置的叶片安装角、叶片顶端的叶栅实度为传感器叶轮的几何特征参数；传感器用同一仪表系数测量高粘度和低粘度2种液体，以线性度误差最大值为目标函数；以约束条件下n维极值的复形调优法为优化算法。

Quantitative optimization method for rotor geometric parameters of liquid turbine flow sensor

In order to reduce the effect of fluid viscosity change on the sensor performance, a quantitative optimization method for rotor parameters of liquid turbine flow sensor is put forward. The characteristic parameters involved in this method include the ratio of blade tip space to pipeline radius, the ratio of rotor hub radius to blade tip radius, the blade stagger angle at the position of mean square root radius, and the solidity of blade cascade at the blade tip of the turbine rotor. Two kinds of liquids with high and low viscosity were measured using the turbine flow sensor with same meter coefficient. The object function used in this method is the maximum of two linearity errors. The optimization algorithm is n dimension extremum complex configuration optimization method under constraint conditions.