[1] Guo Suna, Ji Zengqi, Liu Xu, Wang Fan, et al. Passive simulation method of turbine flow sensors based on the 6-DOF model [J]. Journal of Southeast University (English Edition), 2022, 38 (3): 242-251. [doi:10.3969/j.issn.1003-7985.2022.03.005]

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Passive simulation method of turbine flow sensors based on the 6-DOF model()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

38

Issue:

2022 3

Page:

242-251

Research Field:

Mechanical Engineering

Publishing date:

2022-09-20

Info

Title:

Passive simulation method of turbine flow sensors based on the 6-DOF model

Author(s):

Guo Suna;  Ji Zengqi;  Liu Xu;  Wang Fan;  Zhao Ning;  Fang Lide

College of Quality and Technical Supervision, Hebei University, Baoding 071002, China
National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding 071002, China
Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding 071002, China

Keywords:

turbine flow sensor;  computational fluid dynamics(CFD);  dynamic performance;  unsteady-state flow;  simulation method

PACS:

TH814

DOI:

10.3969/j.issn.1003-7985.2022.03.005

Abstract:

A passive simulation method based on the six degrees of freedom(6-DOF)model and dynamic mesh is proposed according to the working principle to study the dynamic characteristics of the turbine flow sensors. This simulation method controls the six degrees of freedom of the impeller using the user-defined functions(UDF)program so that it can only rotate under the impact of fluid. The impeller speed can be calculated in real-time, and the inlet speed can be set with time to obtain the dynamic performance of the turbine flow sensors. Based on this simulation method, three turbine flow sensors with different diameters were simulated, and the reliability of the simulation method was verified by both steady-state and unsteady-state experiments. The results show that the trend of meter factor with flow rate acquired from the simulation is close to the experimental results. The deviation between the simulation and experiment results is low, with a maximum deviation of 2.88%. In the unsteady simulation study, the impeller speed changed with the inlet velocity of the turbine flow sensor, showing good tracking performance. The passive simulation method can be used to predict the dynamic performance of the turbine flow sensor.

References:

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Memo

Memo:

Biography: Guo Suna(1981—), female, doctor, associate professor, guosunatju@163.com.
Foundation items: The National Natural Science Foundation of China(No. 62173122), the Hebei Key Project of Natural Science Foundation(No. F2021201031).
Citation: Guo Suna, Ji Zengqi, Liu Xu, et al. Passive simulation method of turbine flow sensors based on the 6-DOF model[J].Journal of Southeast University(English Edition), 2022, 38(3):242-251.DOI:10.3969/j.issn.1003-7985.2022.03.005.

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