Benjamin Bursik, Frederic Bender, Rolf Stierle, Gernot Bauer, Joachim Gross
{"title":"基于水动力密度泛函理论的汽液界面传质","authors":"Benjamin Bursik, Frederic Bender, Rolf Stierle, Gernot Bauer, Joachim Gross","doi":"10.1016/j.ijheatmasstransfer.2025.127874","DOIUrl":null,"url":null,"abstract":"<div><div>We assess the capabilities of hydrodynamic density functional theory (hydrodynamic DFT) to predict mass transfer through vapor–liquid interfaces by studying the response of an initially equilibrated pure component vapor–liquid system to the localized insertion of a second component. Hydrodynamic DFT captures the effect of interfaces on the dynamics by modeling the chemical potential gradients of an inhomogeneous system based on classical DFT. Hydrodynamic DFT effectively connects molecular models with continuum fluid dynamics. Away from interfaces the framework simplifies to the isothermal Navier–Stokes equations. We employ Maxwell–Stefan diffusion with a generalized driving force to model diffusive molecular transport in inhomogeneous systems. For the considered Lennard–Jones truncated and shifted (LJTS) fluid, we utilize a non-local Helmholtz energy functional based on the perturbed truncated and shifted (PeTS) equation of state. The model provides noise-free partial densities and fluxes for the isothermal mass transfer of a LJTS fluid near the interface, as well as profiles of these quantities across the interface. A comparison with non-equilibrium molecular dynamics simulations shows that hydrodynamic DFT accurately predicts mass transfer through the interface, including microscopic phenomena such as the temporary enrichment and repulsion of the light-boiling component at the interface. Combining generalized entropy scaling with generalized Maxwell–Stefan diffusion allows for an accurate description of diffusive molecular transport in the system. This approach accurately captures phase behavior, equilibrium interfaces, and mass transfer through interfaces based on molecular interactions for mixtures of strongly dissimilar components. Our results suggest that hydrodynamic DFT accurately predicts the dynamics of mixtures at vapor–liquid interfaces. This is important for modeling transport processes in fluid systems and porous media — particularly for describing evaporation from pores, which requires accurate modeling of mass transfer through vapor–liquid interfaces.</div></div>","PeriodicalId":336,"journal":{"name":"International Journal of Heat and Mass Transfer","volume":"256 ","pages":"Article 127874"},"PeriodicalIF":5.8000,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mass transfer through vapor–liquid interfaces from hydrodynamic density functional theory\",\"authors\":\"Benjamin Bursik, Frederic Bender, Rolf Stierle, Gernot Bauer, Joachim Gross\",\"doi\":\"10.1016/j.ijheatmasstransfer.2025.127874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We assess the capabilities of hydrodynamic density functional theory (hydrodynamic DFT) to predict mass transfer through vapor–liquid interfaces by studying the response of an initially equilibrated pure component vapor–liquid system to the localized insertion of a second component. Hydrodynamic DFT captures the effect of interfaces on the dynamics by modeling the chemical potential gradients of an inhomogeneous system based on classical DFT. Hydrodynamic DFT effectively connects molecular models with continuum fluid dynamics. Away from interfaces the framework simplifies to the isothermal Navier–Stokes equations. We employ Maxwell–Stefan diffusion with a generalized driving force to model diffusive molecular transport in inhomogeneous systems. For the considered Lennard–Jones truncated and shifted (LJTS) fluid, we utilize a non-local Helmholtz energy functional based on the perturbed truncated and shifted (PeTS) equation of state. The model provides noise-free partial densities and fluxes for the isothermal mass transfer of a LJTS fluid near the interface, as well as profiles of these quantities across the interface. A comparison with non-equilibrium molecular dynamics simulations shows that hydrodynamic DFT accurately predicts mass transfer through the interface, including microscopic phenomena such as the temporary enrichment and repulsion of the light-boiling component at the interface. Combining generalized entropy scaling with generalized Maxwell–Stefan diffusion allows for an accurate description of diffusive molecular transport in the system. This approach accurately captures phase behavior, equilibrium interfaces, and mass transfer through interfaces based on molecular interactions for mixtures of strongly dissimilar components. Our results suggest that hydrodynamic DFT accurately predicts the dynamics of mixtures at vapor–liquid interfaces. This is important for modeling transport processes in fluid systems and porous media — particularly for describing evaporation from pores, which requires accurate modeling of mass transfer through vapor–liquid interfaces.</div></div>\",\"PeriodicalId\":336,\"journal\":{\"name\":\"International Journal of Heat and Mass Transfer\",\"volume\":\"256 \",\"pages\":\"Article 127874\"},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2025-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Heat and Mass Transfer\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0017931025012098\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Heat and Mass Transfer","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0017931025012098","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
Mass transfer through vapor–liquid interfaces from hydrodynamic density functional theory
We assess the capabilities of hydrodynamic density functional theory (hydrodynamic DFT) to predict mass transfer through vapor–liquid interfaces by studying the response of an initially equilibrated pure component vapor–liquid system to the localized insertion of a second component. Hydrodynamic DFT captures the effect of interfaces on the dynamics by modeling the chemical potential gradients of an inhomogeneous system based on classical DFT. Hydrodynamic DFT effectively connects molecular models with continuum fluid dynamics. Away from interfaces the framework simplifies to the isothermal Navier–Stokes equations. We employ Maxwell–Stefan diffusion with a generalized driving force to model diffusive molecular transport in inhomogeneous systems. For the considered Lennard–Jones truncated and shifted (LJTS) fluid, we utilize a non-local Helmholtz energy functional based on the perturbed truncated and shifted (PeTS) equation of state. The model provides noise-free partial densities and fluxes for the isothermal mass transfer of a LJTS fluid near the interface, as well as profiles of these quantities across the interface. A comparison with non-equilibrium molecular dynamics simulations shows that hydrodynamic DFT accurately predicts mass transfer through the interface, including microscopic phenomena such as the temporary enrichment and repulsion of the light-boiling component at the interface. Combining generalized entropy scaling with generalized Maxwell–Stefan diffusion allows for an accurate description of diffusive molecular transport in the system. This approach accurately captures phase behavior, equilibrium interfaces, and mass transfer through interfaces based on molecular interactions for mixtures of strongly dissimilar components. Our results suggest that hydrodynamic DFT accurately predicts the dynamics of mixtures at vapor–liquid interfaces. This is important for modeling transport processes in fluid systems and porous media — particularly for describing evaporation from pores, which requires accurate modeling of mass transfer through vapor–liquid interfaces.
期刊介绍:
International Journal of Heat and Mass Transfer is the vehicle for the exchange of basic ideas in heat and mass transfer between research workers and engineers throughout the world. It focuses on both analytical and experimental research, with an emphasis on contributions which increase the basic understanding of transfer processes and their application to engineering problems.
Topics include:
-New methods of measuring and/or correlating transport-property data
-Energy engineering
-Environmental applications of heat and/or mass transfer