Please use this identifier to cite or link to this item: https://doi.org/10.3390/s21238105
Title: Fluid-solid interaction simulation methodology for coriolis flowmeter operation analysis
Authors: Shavrina, Evgeniia
Nguyen, Vinh-Tan
Yan, Zeng
Khoo, Boo Cheong 
Keywords: Coriolis flowmeter
Fluid-structure interaction
Turbulence model
Validation
Issue Date: 3-Dec-2021
Publisher: MDPI
Citation: Shavrina, Evgeniia, Nguyen, Vinh-Tan, Yan, Zeng, Khoo, Boo Cheong (2021-12-03). Fluid-solid interaction simulation methodology for coriolis flowmeter operation analysis. Sensors 21 (23) : 8105. ScholarBank@NUS Repository. https://doi.org/10.3390/s21238105
Rights: Attribution 4.0 International
Abstract: Numerical simulation is a widely used tool for Coriolis flowmeter (CFM) operation analysis. However, there is a lack of experimentally validated methodologies for the CFM simulation. Moreover, there is no consensus on suitable turbulence models and configuration simplifications. The present study intends to address these questions in a framework of a fluid–solid interaction simulation methodology by coupling the finite volume method and finite element method for fluid and solid domains, respectively. The Reynolds stresses (RSM) and eddy viscosity-based turbulence models are explored and compared for CFM simulations. The effects of different configuration simplifications are investigated. It is demonstrated that the RSM model is favorable for the CFM operation simulations. It is also shown that the configuration simplifications should not include the braces neglect or the equivalent flowmeter tube length assumption. The simulation results are validated by earlier experimental data, showing a less than 5% discrepancy. The proposed methodology will increase the confidence in CFM operation simulations and consequently provide the foundation for further studies of flowmeter usage in various fields. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Source Title: Sensors
URI: https://scholarbank.nus.edu.sg/handle/10635/231896
ISSN: 1424-8220
DOI: 10.3390/s21238105
Rights: Attribution 4.0 International
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_3390_s21238105.pdf6.82 MBAdobe PDF

OPEN

NoneView/Download

SCOPUSTM   
Citations

2
checked on Nov 21, 2022

Page view(s)

14
checked on Nov 17, 2022

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons