Theoretical and computational approaches to predicting the viscosity of liquids

N.D. Kondratyuk^†^a, b, c, V.V. Pisarev^‡^a, b, c
^aJoint Institute for High Temperatures, Russian Academy of Sciences, ul. Izhorskaya 13/19, Moscow, 127412, Russian Federation
^bHSE University, ul. Myasnitskaya 20, Moscow, 101000, Russian Federation
^cMoscow Institute of Physics and Technology (National Research University), Institutskii per. 9, Dolgoprudny, Moscow Region, 141700, Russian Federation

Predictive models for the shear viscosity of liquids and gases along with exact equations of state are of great practical importance for hydrodynamic modeling of processes occurring in nature, industrial plants, and machinery. We consider currently proposed theoretical, including atomistic modeling, and semi-empirical approaches to predicting the viscosity of liquids, gases, and their mixtures in a wide range of thermodynamic conditions. Viscosity models of homogeneous liquids in a thermodynamically stable state are described. The dynamics of supercooled and vitrescent liquids and dispersed systems (colloids, emulsions) remain beyond the scope of this review. We discuss the area of applicability of correlation methods for predicting viscosity and the accuracy of various methods in the pressure range up to 1 GPa. Application examples of various approaches for hydrocarbons — model oil and gas, fuel, and lubrication systems — are given.

Correspondence should be addressed to
Keywords: shear viscosity, liquids, theoretical models, empirical models, molecular modeling, atomistic modeling
PACS: 66.20.Cy
DOI: 10.3367/UFNe.2021.11.039102
URL: https://ufn.ru/en/articles/2023/4/d/
Web of Science

001099929700006
Scopus

2-s2.0-85137744289
ADS NASA

2023PhyU...66..410K
Citation: Kondratyuk N D, Pisarev V V "Theoretical and computational approaches to predicting the viscosity of liquids" Phys. Usp. 66 410–432 (2023)

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Received: 26th, August 2021, revised: 17th, November 2021, accepted: 18th, November 2021

Оригинал: Кондратюк Н Д, Писарев В В «Теоретические и вычислительные подходы к предсказанию вязкости жидкостей» УФН 193 437–461 (2023); DOI: 10.3367/UFNr.2021.11.039102

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