{"title":"Viscosity prediction of asymmetric hydrocarbon mixtures by the soft-SAFT + entropy scaling model","authors":"Zhiyu Yan, Yiran Wang, Xiangyang Liu, Maogang He","doi":"10.1016/j.fluid.2025.114521","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, we combined the soft-SAFT equation of state (EoS) with entropy scaling to model the correlation between viscosity and residual entropy in pure hydrocarbons and their asymmetric binary mixtures with significant molecular weight disparities. For pure hydrocarbons, the dimensionless viscosity exhibits a distinct univariate dependence on residual entropy. When extended to mixtures, the viscosity is predicted by incorporating contributions from each component without introducing additional adjustable parameters. The model was validated against 1326 experimental viscosity data points for mixtures composed of hydrocarbons with carbon numbers ranging from 5 to 24, yielding an average absolute relative deviation (AARD) of 3.71 %. For the more challenging methane-containing mixtures (where methane viscosity differs by orders of magnitude from the other component), the predictive accuracy was significantly improved with an AARD of only 4.75 %.</div></div>","PeriodicalId":12170,"journal":{"name":"Fluid Phase Equilibria","volume":"599 ","pages":"Article 114521"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fluid Phase Equilibria","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378381225001918","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, we combined the soft-SAFT equation of state (EoS) with entropy scaling to model the correlation between viscosity and residual entropy in pure hydrocarbons and their asymmetric binary mixtures with significant molecular weight disparities. For pure hydrocarbons, the dimensionless viscosity exhibits a distinct univariate dependence on residual entropy. When extended to mixtures, the viscosity is predicted by incorporating contributions from each component without introducing additional adjustable parameters. The model was validated against 1326 experimental viscosity data points for mixtures composed of hydrocarbons with carbon numbers ranging from 5 to 24, yielding an average absolute relative deviation (AARD) of 3.71 %. For the more challenging methane-containing mixtures (where methane viscosity differs by orders of magnitude from the other component), the predictive accuracy was significantly improved with an AARD of only 4.75 %.
期刊介绍:
Fluid Phase Equilibria publishes high-quality papers dealing with experimental, theoretical, and applied research related to equilibrium and transport properties of fluids, solids, and interfaces. Subjects of interest include physical/phase and chemical equilibria; equilibrium and nonequilibrium thermophysical properties; fundamental thermodynamic relations; and stability. The systems central to the journal include pure substances and mixtures of organic and inorganic materials, including polymers, biochemicals, and surfactants with sufficient characterization of composition and purity for the results to be reproduced. Alloys are of interest only when thermodynamic studies are included, purely material studies will not be considered. In all cases, authors are expected to provide physical or chemical interpretations of the results.
Experimental research can include measurements under all conditions of temperature, pressure, and composition, including critical and supercritical. Measurements are to be associated with systems and conditions of fundamental or applied interest, and may not be only a collection of routine data, such as physical property or solubility measurements at limited pressures and temperatures close to ambient, or surfactant studies focussed strictly on micellisation or micelle structure. Papers reporting common data must be accompanied by new physical insights and/or contemporary or new theory or techniques.