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Gas-Liquid Two-Phase Flow Metering Using Coriolis Flowmeters

Liu, Jinyu (2018) Gas-Liquid Two-Phase Flow Metering Using Coriolis Flowmeters. Doctor of Philosophy (PhD) thesis, University of Kent,. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

This thesis describes a novel methodology for the gas-liquid two-phase flow measurement using Coriolis flowmeters incorporating a semi-empirical physical model. A review of methodologies and techniques for the gas-liquid two-phase flow measurement is given, together with the advantages and limitations of using Coriolis flowmeters for such measurement. The proposed methodology can be implemented in the KROHNE OPTIMASS 6400 Coriolis flowmeters with an external input of GVF (Gas Volume Fraction). Detailed developments and evaluation of this analytical model and the comparison with other state-of-the-art solutions are reported. The parametric dependency between the behaviours of the Coriolis flowmeters and test conditions is discussed. Existing analytical models describing the interactions of gas and liquid phases in the Coriolis flowmeters are reviewed, evaluated, and improved according to the experimental data. Experimental results confirm that, with the corrections from the proposed physical model, 94.2% of the mass flowrate readings from the Coriolis flowmeters achieved a relative error of less than 10% while 97.8% of the GVF predictions achieved an absolute error of no greater than 5% within GVF of 0% - 45%.

Same experimental data is used to compare the performance of the improved analytical model with that using soft computing models. The SVM (Support Vector Machine) model, which is believed to be the best among soft computing models, is able to allow 99.4% of experimental data to achieve less than 10% relative error and 5% absolute errors for mass flowrate and GVF, respectively.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Yan, Yong
Thesis advisor: Wang, Xue
Thesis advisor: Wang, Tao
Uncontrolled keywords: Gas-liquid Two-phase Coriolis analytical soft-computing experimental
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 04 Apr 2019 13:10 UTC
Last Modified: 21 Feb 2020 04:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/73376 (The current URI for this page, for reference purposes)
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