2020
DOI: 10.1088/1742-6596/1515/4/042058
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Determination of Newtonian fluid viscosity and design constants of a rotary viscometer

Abstract: In this paper the problem of determining the viscosity coefficient of a Newtonian liquid for the development of a rotary viscometer considered. The least squares method is proposed to be used for processing the measurement results. Conversion factors of electric sensor readings are proposed. The calibration instrument is designed to calculate the conversion coefficient of the torsional moment to current of the sensor. The proposed formulas are useful for developing an algorithm for calculating a rotary viscome… Show more

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Cited by 5 publications
(2 citation statements)
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“…Traditional mechanical measurement methods such as capillary viscometers, dropping ball viscometers, and rotary viscometers cannot be applied to the measurement of viscosity in live cells owing to the limitation by the requirements of the instrument itself on the sample. [10][11][12] Therefore, it is of critical need to develop a feasible method for investigating the changes in intracellular viscosity.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional mechanical measurement methods such as capillary viscometers, dropping ball viscometers, and rotary viscometers cannot be applied to the measurement of viscosity in live cells owing to the limitation by the requirements of the instrument itself on the sample. [10][11][12] Therefore, it is of critical need to develop a feasible method for investigating the changes in intracellular viscosity.…”
Section: Introductionmentioning
confidence: 99%
“…Several conventional methods exist for measuring viscosity, including falling-sphere, capillary, and rotary methods. [8][9][10] However, these methods necessitate substantial liquid quantities and tedious sample preparation, which are not suitable for in situ viscosity sensing in biological systems. On the other hand, fluorescence imaging technology presents a promising alternative that can provide valuable insights into biological processes with real-time monitoring and offer excellent temporal and spatial resolution.…”
mentioning
confidence: 99%