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

GND
1103042017
Zugehörigkeit
Otto Schott Institute of Materials Research Friedrich Schiller University Jena Lessingstrasse 12‐14 07743 Jena Germany
Pan, Zhiwen;
Zugehörigkeit
Federal Institute for Materials Research and Testing – BAM Richard‐Willstätter‐Str. 11 12489 Berlin Germany
Waurischk, Tina;
GND
134711100X
Zugehörigkeit
Otto Schott Institute of Materials Research Friedrich Schiller University Jena Lessingstrasse 12‐14 07743 Jena Germany
Duval, Alexis;
Zugehörigkeit
Federal Institute for Materials Research and Testing – BAM Richard‐Willstätter‐Str. 11 12489 Berlin Germany
Müller, Ralf;
Zugehörigkeit
Institute of Non‐Metallic Materials Clausthal University of Technology Zehntnerstr. 2a 38678 Clausthal‐Zellerfeld Germany
Deubener, Joachim;
Zugehörigkeit
Department of Civil Engineering Indian Institute of Technology Delhi Hauz Khas New Delhi 110016 India
Krishnan, N. M. Anoop;
GND
132370220
Zugehörigkeit
Leibniz Institute of Photonic Technology – IPHT Albert‐Einstein‐Str. 9 07745 Jena Germany
Wondraczek, Katrin;
GND
128981741
ORCID
0000-0002-0747-3076
Zugehörigkeit
Otto Schott Institute of Materials Research Friedrich Schiller University Jena Lessingstrasse 12‐14 07743 Jena Germany
Wondraczek, Lothar

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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