Blade shape optimization of liquid turbine flow sensor

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• 作者：Suna Guo 郭素妿/a> ; Tao Zhang 庿洿/a> ; Lijun Sun 孙立儿/a>…
• 关键词：turbine flow sensor ; performance evaluation method ; parameter optimization ; mathematical model ; CFD simulation
• 刊名：Transactions of Tianjin University
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：22
• 期：2
• 页码：144-150
• 全文大小：773 KB
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• 作者单位：Suna Guo 郭素娜 (1) (2)
  Tao Zhang 张 涛 (1) (2)
  Lijun Sun 孙立军 (1) (2)
  Zhen Yang 杨 振 (1) (2)
  Wenliang Yang 杨文量 (3)
  
  1. School of Electrical Engineering and Automation, Tianjin University, Tianjin, 300072, China
  2. Tianjin Key Laboratory of Process Measurement and Control, Tianjin, 300072, China
  3. North China Municipal Engineering Design & Research Institute, Tianjin 300384, China
  
• 刊物类别：Engineering
• 刊物主题：Chinese Library of Science
  
• 出版者：Tianjin University
• ISSN：1995-8196

文摘

Based on the characteristic curve analysis, the method using Δ(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.