Fluid-Structure Coupling Analysis and Simulation of Viscosity Effect on Coriolis Mass Flowmeter

Author(s):  
Luo Rongmo ◽  
Wu Jian
2020 ◽  
Vol 34 (14n16) ◽  
pp. 2040119
Author(s):  
Tian-Xing Huang ◽  
Jian-Xin Ren ◽  
Pei Zhang

Coriolis mass flowmeter (CMF) is widely used in the industrial field. In mass flow measurement, there are many impurities in measured fluids that will adhere to the inner wall of the vibrating tube of CMF. The vibration characteristics of CMF would change due to the structural change, i.e., wall clung state, which will generate the wall clung state fault. In this paper, aiming at the wall clung state fault of CMF, the finite element model of CMF is established based on ANSYS. The velocity distribution of fluid in the vibrating tube of CMF is analyzed, considering the fluid–structure interaction. The location of the wall clung state in a vibrating tube is determined. Then, the fault model is established. The mechanism of the vibration transmission characteristics outwards of CMF caused by the wall clung state is analyzed by harmonic response analysis. Finally, the failure mode of CMF is investigated.


2013 ◽  
Vol 26 (6) ◽  
pp. 521-528 ◽  
Author(s):  
Wenjun Xiong ◽  
Kejun Xu ◽  
Min Fang ◽  
Qili Hou ◽  
Cui Liu

2011 ◽  
Vol 25 (6) ◽  
pp. 540-545 ◽  
Author(s):  
Qili Hou ◽  
Kejun Xu ◽  
Ye Li ◽  
Yongqiang Zhu ◽  
Miao Li ◽  
...  

2013 ◽  
Vol 333-335 ◽  
pp. 650-655
Author(s):  
Peng Hui Niu ◽  
Yin Lei Qin ◽  
Shun Ping Qu ◽  
Yang Lou

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.


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