Theoretical and experimental investigations of flow pulsation effects in Coriolis mass flowmeters

Svete, A.; Kutin, J.; Bobovnik, G.; Bajsić, I.

doi:10.1016/j.jsv.2015.05.014

Cited by 25 publications

(7 citation statements)

References 19 publications

(31 reference statements)

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“…As appears from (21) the function q10 is 2π-periodic in ω1T0, and so will be the argument to the general damping function f in (18)- (19). Then f is also 2π-periodic in ω1T0, and can thus be Fourier-expanded, with (21) substituted into the argument of f:…”

Section: Approximate Solution Using Perturbation Analysismentioning

confidence: 99%

“…Effects of imperfect supports on phase shift was considered in [1], using perturbation analysis in a manner similar to what is used in the present work. Effects of mechanical vibrations on measurement accuracy has been considered [15], as has effects of pulsating flow speed [16][17][18][19], sensor and actuator mass [10], temperature [10,20], and multi-phase flow [21]. Kutin & Bajsic [22,23] employed Taylor-expanded (in fluid velocity) Galerkinsolutions to calculate analytical predictions for Coriolis flowmeter stability boundaries, and for phase shifts in the ideal and some non-ideal cases (nonlinear flow, axial force, and added mass).…”

Section: Introductionmentioning

confidence: 99%

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Perturbation-based prediction of vibration phase shift along fluid-conveying pipes due to Coriolis forces, nonuniformity, and nonlinearity

Thomsen

Fuglede

2019

Nonlinear Dyn

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Section: Approximate Solution Using Perturbation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Perturbation-based prediction of vibration phase shift along fluid-conveying pipes due to Coriolis forces, nonuniformity, and nonlinearity

Thomsen

Fuglede

2019

Nonlinear Dyn

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“…In an experimental-assisted mathematical study, Svete et al [7] asserted that pulsations at the same frequency as the driver frequency of a CFM only interfere with CFMs vibrations directly; while, pulsations at Coriolis frequency disturb meter dynamics through both direct and induced vibrational fluctuations. Similar to the second assertion of [7], Cheesewright and coworkers [8,9] affirmed that flow pulsations agitate the meter operations not only at one of natural frequencies, but also the frequencies equivalent to sum/difference of coriolis frequency and driver frequency as well as coriolis frequency minus the double of driver frequency corresponds to troubled oscillations. Separately, Cheesewright et al [10] found that noise in meter's response due to flow pulsations can also lead to erratic outputs and hence error.…”

Section: Introductionmentioning

confidence: 99%

On the performance of a Coriolis Mass Flowmeter (CMF): experimental measurement and FSI simulation

Dalson

2022

Int. J. Metrol. Qual. Eng.

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Computational methods that make use of single one-way Fluid Structure Interaction (FSI) for modeling the Coriolis Mass Flowmeters' (CMFs) operations are prone to inaccuracies. These errors are due to their limitations in describing a fully coupled fluid structure interaction. The aim of this study is to produce a CFD model of a CMF that uses an iterative two-way coupling of fluid structure interaction to accurately study its performance. The computational findings are benchmarked against accurate experimental measurements of the U-shape CFM. The deviation between the computed results and experimental measurements remains about 0.1% which is deemed acceptable. This reduction of uncertainties is largely attributed to the capability of the model to describe the effects of tube vibrations on the meter's operation.

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“…When there is no flow through the flow meter, all points along the flow tube oscillate in the same phase as a result of application of the excitation force. But as soon as the flow of material begins to flow, Coriolis accelerations lead to the appearance of different phases for each point along the flow tube [6,7]. The phase on the inlet side of the flow tube has a delay relative to the excitation phase, while the phase on the outlet side is ahead of the excitation phase.…”

Section: Introductionmentioning

confidence: 99%

Imitation Modeling of the Flow Control Information System Elements

Gudkov¹,

Piskaev²,

Zhashkova³

et al. 2019

Proceedings of the VIII Science and Technology Conference “Contemporary Issues of Geology, Geophysics and Geo-Ecology of the No

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A number of issues related to the construction of an information processing system in a Coriolis flow meter using simulation models are considered. The paper presents simulation models of a straight-tube Coriolis flowmeter built in a Matlab/Simulink simulation environment. A simulation of the operation of the flow meter under various conditions of the flow of a liquid medium was carried out, and external vibration effects were simulated on both the flowmeter and its pipeline elements. On the basis of the obtained experimental data, the parameters of the data processing system were selected. The problems of the influence of external influences and ways to eliminate it are considered. In addition to external influences that adversely affect the accuracy of measurements, various physical limitations determining the maximum achievable accuracy of Coriolis flowmeters are analyzed. The processes of dynamic changes in the physical properties of bodies related to their molecular structure are considered, as well as technical and technological processes that can make changes to the accuracy parameters of a measuring device due to the variation of parameters of structural elements.

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Theoretical and experimental investigations of flow pulsation effects in Coriolis mass flowmeters

Cited by 25 publications

References 19 publications

Perturbation-based prediction of vibration phase shift along fluid-conveying pipes due to Coriolis forces, nonuniformity, and nonlinearity

Perturbation-based prediction of vibration phase shift along fluid-conveying pipes due to Coriolis forces, nonuniformity, and nonlinearity

On the performance of a Coriolis Mass Flowmeter (CMF): experimental measurement and FSI simulation

Imitation Modeling of the Flow Control Information System Elements

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