Blade Shape Optimization of Liquid Turbine Flow Sensor

Based on the characteristic curve analysis, the method using D（K~2） square difference of meter factor at different flow rates was developed to evaluate the performance of turbine flow sensor in this study. Then according to the distribution of entrance velocity, it was supposed that reducing the bla...

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Bibliographic Details
Published inTransactions of Tianjin University Vol. 22; no. 2; pp. 144 - 150
Main Author 郭素娜 张涛 孙立军 杨振 杨文量
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University 01.04.2016
Subjects
Engineering
Humanities and Social Sciences
Mechanical Engineering
multidisciplinary
Science
叶片
形状优化
形状参数
曲线分析
涡轮流量传感器
液体
线性误差
计算流体力学模拟
CFD simulation
mathematical model
performance evaluation method
turbine flow sensor
parameter optimization
Online AccessGet full text
ISSN1006-4982
1995-8196
DOI10.1007/s12209-016-2685-z

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Summary:Based on the characteristic curve analysis, the method using D（K~2） square difference of meter factor at different flow rates was developed to evaluate the performance of turbine flow sensor in this study. Then according to the distribution of entrance velocity, it was supposed that reducing the blade area near the tip could decrease the linearity error of a sensor. Therefore, the influence of different blade shape parameters on the performance of the sensor was investigated by combining computational fluid dynamics（CFD）simulation with experimental test. The experimental results showed that, for the liquid turbine flow sensor with a diameter of 10 mm, the linearity error was smallest, and the performance of sensor was optimal when blade shape parameter equaled 0.25.
Bibliography:turbine flow sensor; performance evaluation method; parameter optimization; mathematical model; CFD simulation
Based on the characteristic curve analysis, the method using D（K~2） square difference of meter factor at different flow rates was developed to evaluate the performance of turbine flow sensor in this study. Then according to the distribution of entrance velocity, it was supposed that reducing the blade area near the tip could decrease the linearity error of a sensor. Therefore, the influence of different blade shape parameters on the performance of the sensor was investigated by combining computational fluid dynamics（CFD）simulation with experimental test. The experimental results showed that, for the liquid turbine flow sensor with a diameter of 10 mm, the linearity error was smallest, and the performance of sensor was optimal when blade shape parameter equaled 0.25.
12-1248/T
Guo Suna;Zhang Tao;Sun Lijun;Yang Zhen;Yang Wenliang;School of Electrical Engineering and Automation, Tianjin University;Tianjin Key Laboratory of Process Measurement and Control;North China Municipal Engineering Design ＆ Research Institute
ISSN:1006-4982
1995-8196
DOI:10.1007/s12209-016-2685-z