Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor

This paper discusses a state-of-the-art inline tubular sensor that can measure the viscosity–density <inline-formula> <math display="inline"> <semantics> <mrow> <mrow> <mo stretchy="false">(</mo> <mrow> <mrow> <mi mathvaria...

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Main Authors: Daniel Brunner, Joe Goodbread, Klaus Häusler, Sunil Kumar, Gernot Boiger, Hassan A. Khawaja
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/11/3036
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author Daniel Brunner
Joe Goodbread
Klaus Häusler
Sunil Kumar
Gernot Boiger
Hassan A. Khawaja
author_facet Daniel Brunner
Joe Goodbread
Klaus Häusler
Sunil Kumar
Gernot Boiger
Hassan A. Khawaja
author_sort Daniel Brunner
collection DOAJ
description This paper discusses a state-of-the-art inline tubular sensor that can measure the viscosity–density <inline-formula> <math display="inline"> <semantics> <mrow> <mrow> <mo stretchy="false">(</mo> <mrow> <mrow> <mi mathvariant="sans-serif">ρ</mi> <mi mathvariant="sans-serif">η</mi> </mrow> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </semantics> </math> </inline-formula> of a passing fluid. In this study, experiments and numerical modelling were performed to develop a deeper understanding of the tubular sensor. Experimental results were compared with an analytical model of the torsional resonator. Good agreement was found at low viscosities, although the numerical model deviated slightly at higher viscosities. The sensor was used to measure viscosities in the range of 0.3–1000 mPa·s at a density of 1000 kg/m<sup>3</sup>. Above 50 mPa·s, numerical models predicted viscosity within ±5% of actual measurement. However, for lower viscosities, there was a higher deviation between model and experimental results up to a maximum of ±21% deviation at 0.3 mPa·s. The sensor was tested in a flow loop to determine the impact of both laminar and turbulent flow conditions. No significant deviations from the static case were found in either of the flow regimes. The numerical model developed for the tubular torsional sensor was shown to predict the sensor behavior over a wide range, enabling model-based design scaling.
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spelling doaj.art-635a93297f2b46f1a9419550e9b9f1cc2023-11-20T01:53:34ZengMDPI AGSensors1424-82202020-05-012011303610.3390/s20113036Analysis of a Tubular Torsionally Resonating Viscosity–Density SensorDaniel Brunner0Joe Goodbread1Klaus Häusler2Sunil Kumar3Gernot Boiger4Hassan A. Khawaja5Institute of Computational Physics, Zurich University of Applied Sciences, ZHAW, 8400 Winterthur, SwitzerlandRheonics GmbH, 8406 Winterthur, SwitzerlandRheonics GmbH, 8406 Winterthur, SwitzerlandRheonics GmbH, 8406 Winterthur, SwitzerlandInstitute of Computational Physics, Zurich University of Applied Sciences, ZHAW, 8400 Winterthur, SwitzerlandFaculty of Engineering Science and Technology, Department of Automation and Process Engineering, The Arctic University of Norway, UiT, P.O. Box 6050 Langnes, 9037 Tromsø, NorwayThis paper discusses a state-of-the-art inline tubular sensor that can measure the viscosity–density <inline-formula> <math display="inline"> <semantics> <mrow> <mrow> <mo stretchy="false">(</mo> <mrow> <mrow> <mi mathvariant="sans-serif">ρ</mi> <mi mathvariant="sans-serif">η</mi> </mrow> </mrow> <mo stretchy="false">)</mo> </mrow> </mrow> </semantics> </math> </inline-formula> of a passing fluid. In this study, experiments and numerical modelling were performed to develop a deeper understanding of the tubular sensor. Experimental results were compared with an analytical model of the torsional resonator. Good agreement was found at low viscosities, although the numerical model deviated slightly at higher viscosities. The sensor was used to measure viscosities in the range of 0.3–1000 mPa·s at a density of 1000 kg/m<sup>3</sup>. Above 50 mPa·s, numerical models predicted viscosity within ±5% of actual measurement. However, for lower viscosities, there was a higher deviation between model and experimental results up to a maximum of ±21% deviation at 0.3 mPa·s. The sensor was tested in a flow loop to determine the impact of both laminar and turbulent flow conditions. No significant deviations from the static case were found in either of the flow regimes. The numerical model developed for the tubular torsional sensor was shown to predict the sensor behavior over a wide range, enabling model-based design scaling.https://www.mdpi.com/1424-8220/20/11/3036viscometerviscosity–density sensorviscosity measurementtorsional resonatorfluid–structure interaction
spellingShingle Daniel Brunner
Joe Goodbread
Klaus Häusler
Sunil Kumar
Gernot Boiger
Hassan A. Khawaja
Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
Sensors
viscometer
viscosity–density sensor
viscosity measurement
torsional resonator
fluid–structure interaction
title Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
title_full Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
title_fullStr Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
title_full_unstemmed Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
title_short Analysis of a Tubular Torsionally Resonating Viscosity–Density Sensor
title_sort analysis of a tubular torsionally resonating viscosity density sensor
topic viscometer
viscosity–density sensor
viscosity measurement
torsional resonator
fluid–structure interaction
url https://www.mdpi.com/1424-8220/20/11/3036
work_keys_str_mv AT danielbrunner analysisofatubulartorsionallyresonatingviscositydensitysensor
AT joegoodbread analysisofatubulartorsionallyresonatingviscositydensitysensor
AT klaushausler analysisofatubulartorsionallyresonatingviscositydensitysensor
AT sunilkumar analysisofatubulartorsionallyresonatingviscositydensitysensor
AT gernotboiger analysisofatubulartorsionallyresonatingviscositydensitysensor
AT hassanakhawaja analysisofatubulartorsionallyresonatingviscositydensitysensor