Coriolis mass flow rate meters for low flows

Mehendale, Aditya

doi:10.3990/1.9789036527279

Cited by 7 publications

(16 citation statements)

References 9 publications

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“…The cross sectional area of the fluid is A f = 1 4 πd 2 , where the fluid has a density ρ f and flow velocity u. The structural damping is omitted in this model, because the Coriolis tubes are normally designed with high Q-factors [44]. Using a modal decomposition method even CMFM models with complex tube shapes can be reduced to this simple model with only the Coriolis mode and actuation mode.…”

Section: Modellingmentioning

confidence: 99%

“…3.13, because m 1 ≫ m 2 . Although the Coriolis mode is outside the region of interest, it must be damped to prevent 44 Chapter 3 Active vibration isolation feedback control that the tube moves out of the sensor range. Moreover, the definition of the region of interest is not very strict, so a high peak just outside this region will still increase the sensitivity for external vibrations..…”

Section: Damping the Coriolis Modementioning

confidence: 99%

“…There are different digital signal processing methods that can be applied. A method is to apply dual quadrature demodulation, the method applied to a 22 Chapter 2 Quantification of the influence of external vibrations CMFM is described by Mehendale [44]. A phase-locked loop algorithm is implemented to compute the frequency ω act = ω 3 of the oscillating tube.…”

Section: Phase Demodulationmentioning

confidence: 99%

“…The other terms are the mass matrix M M M, stiffness matrix K K K, damping matrix D D D, the velocity sensitive matrix C C C, the dynamic stiffness matrix N N N, the actuation input vector f f f and the reaction force [44,45]. The instrument is connected to a pipeline; a fluid flow enters the instrument (6), flows trough the tubewindow (2) and exits the instrument (7).…”

Section: System Equationsmentioning

confidence: 99%

“…There are many types of CMFMs available, whereby the size depends on the flow range. One category is the CMFM for low flows [44]. For low flows, the Coriolis force induced motion is relative small compared to external vibrations induced motions, thus CMFM's designed to be sensitive to low flows, are rather sensitive to external vibrations.…”

Section: Introductionmentioning

confidence: 99%

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Vibration isolation for coriolis mass-flow meters

Ridder¹

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Section: Modellingmentioning

confidence: 99%

Section: Damping the Coriolis Modementioning

confidence: 99%

Section: Phase Demodulationmentioning

confidence: 99%

Section: System Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vibration isolation for coriolis mass-flow meters

Ridder¹

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Active vibration isolation feedback control for Coriolis Mass-Flow Meters

Ridder

Beijen

Hakvoort

et al. 2014

Control Engineering Practice

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Quantification of the influence of external vibrations on the measurement error of a Coriolis mass-flow meter

Ridder

Hakvoort

Dijk

et al. 2014

Flow Measurement and Instrumentation

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In this paper the influence of external vibrations on the measurement value of a Coriolis mass-flow meter (CMFM) for low flows is investigated and quantified. Model results are compared with experimental results to improve the knowledge on how external vibrations affect the mass-flow measurement value. A flexible multi-body model is built and the working principle of a CMFM is explained. Some special properties of the model are evaluated to get insight into the dynamic behaviour of the CMFM. Using the model, the transfer functions between external vibrations (e.g. floor vibrations) and the flow error are derived. The external vibrations are characterised with a PSD. Integrating the squared transfer function times the PSD over the whole frequency range results in an RMS flow error estimate. In an experiment predefined vibrations are applied on the casing of the CMFM and the error is determined. The experimental results show that the transfer functions and the estimated measurement error correspond with the model results.The agreement between model and measurements implies that the influence of external vibrations on the measurement is fully understood. This result can be applied in two ways; firstly that the influence of any external vibration spectrum on the flow error can be estimated and secondly that the performance of different CMFM designs can be compared and optimised by shaping their respective transfer functions.

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Coriolis mass flow rate meters for low flows

Cited by 7 publications

References 9 publications

Vibration isolation for coriolis mass-flow meters

Vibration isolation for coriolis mass-flow meters

Active vibration isolation feedback control for Coriolis Mass-Flow Meters

Quantification of the influence of external vibrations on the measurement error of a Coriolis mass-flow meter

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