Precise Real‐Time Measurement of Liquid Viscosity Using Digital Video Data

Quantitative knowledge of liquid viscosity is of fundamental importance in many areas of materials synthesis and processing. However, the determination of viscosity often relies on specialized experimental equipment, offline experimentation, or invasive procedures, in particular when required in extreme conditions such as at high temperature, high pressure, and in confined or corrosive environments. Here, this study proposes and validates a fast and simple method that mimics the intuitive perception of liquid flow within a quantitative framework. For this, this study employs digital video observation to derive quantitative values of the shear viscosity of liquids, with high precision and rapid acquisition rates. The technique involves capturing liquid dynamics after minor mechanical stimulation. Processed imaging data are indexed by similarity and referenced to a digital database generated with a finite element model, from which values of viscosity are obtained in line. The approach is tested on water at room temperature and on a high‐temperature glass melt. Covering a viscosity range of four orders of magnitude, both yield convincing agreement with tabulated reference data at low computational cost.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-06-22
DOI
https://doi.org/10.1002/aisy.202500297
Primary Topic
Cultural Heritage Materials Analysis
Type
article
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article

Precise Real‐Time Measurement of Liquid Viscosity Using Digital Video Data

Alexis Duval, Lothar Wondraczek, Zhiwen Pan, Katrin Wondraczek et al.
4 links
Advanced Intelligent Systems
Cultural Heritage Materials Analysis
article

Precise Real‐Time Measurement of Liquid Viscosity Using Digital Video Data

Alexis Duval, Lothar Wondraczek, Zhiwen Pan, Katrin Wondraczek, N. M. Anoop Krishnan, Tina Waurischk, Joachim Deubener, Ralf Müller
article en

Abstract

Quantitative knowledge of liquid viscosity is of fundamental importance in many areas of materials synthesis and processing. However, the determination of viscosity often relies on specialized experimental equipment, offline experimentation, or invasive procedures, in particular when required in extreme conditions such as at high temperature, high pressure, and in confined or corrosive environments. Here, this study proposes and validates a fast and simple method that mimics the intuitive perception of liquid flow within a quantitative framework. For this, this study employs digital video observation to derive quantitative values of the shear viscosity of liquids, with high precision and rapid acquisition rates. The technique involves capturing liquid dynamics after minor mechanical stimulation. Processed imaging data are indexed by similarity and referenced to a digital database generated with a finite element model, from which values of viscosity are obtained in line. The approach is tested on water at room temperature and on a high‐temperature glass melt. Covering a viscosity range of four orders of magnitude, both yield convincing agreement with tabulated reference data at low computational cost.

Advanced Intelligent SystemsVol. 7(12)
Federal Institute For Materials Research and Testing (DE), Schott (Germany) (DE), Leibniz Institute of Photonic Technology (DE), Clausthal University of Technology (DE), Indian Institute of Technology Delhi (IN), Friedrich Schiller University Jena (DE)
Clean water and sanitation
Openalex Percentile: Top 83%
Cultural Heritage Materials Analysis
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