Programme

P.14 -- Poster, VCTP-46

Date: Tuesday, 5 October 2021

Time: 08:30 - 10:00

Entropy Scaling for Viscosity of Lennard-Jones Binary Mixtures

Phuc Nguyen(1*), Han Tuong Luc(2), Cuong Quoc Doan(3), Hai Hoang(1)

(1)Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City 700000, Vietnam (2)Cao Thang Technical College, Ho Chi Minh City, Vietnam (3)Quang Binh University, Dong Hoi City, Vietnam

Viscosity of fluid is a key quantity in fluid mechanism. To estimate this property, a variety of methods, both correlative and theoretical ones, has been developed and reported in the literature [1]. Among them, an entropy scaling, originally proposed by Rosenfeld [2], has recently attracted a lot of attention as it expresses the dimensionless viscosity as a function of excess entropy [3]. This approach has been extensively employed to build viscosity correlations for pure modeling and real compounds [4], which has shown very promising results. However, its extension to mixtures has been less studied [5], which is probably due to the lack of mixture data, e.g. viscosity and excess entropy. The purpose of present work is to provide a scheme for the entropy scaling to compute mixture viscosity. To do so, we have first performed extensive molecular simulations to compute thermodynamics properties and viscosity of binary mixtures composed of Lennard-Jones species that differ from each other in terms of molecular parameters (molecular mass, molecular size, potential and shape). Then, possible mixing rules for the entropy scaling have been tested and discussed to propose the one that is able to predict good results.

Presenter: Nguyễn Phúc