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, 141701, 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.
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/ 001099929700006 2-s2.0-85137744289 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)
PT Journal Article
TI Theoretical and computational approaches to predicting the viscosity of liquids
AU Kondratyuk N D
FAU Kondratyuk ND
AU Pisarev V V
FAU Pisarev VV
DP 10 Apr, 2023
TA Phys. Usp.
VI 66
IP 4
PG 410-432
RX 10.3367/UFNe.2021.11.039102
URL https://ufn.ru/en/articles/2023/4/d/
SO Phys. Usp. 2023 Apr 10;66(4):410-432
Received: 26th, August 2021, revised: 17th, November 2021, accepted: 18th, November 2021