Conductive heat transfer through nanoconfined argon gas: From continuum to free-molecular regime

Rabani, Reza; Mérabia, Samy; Pishevar, Ahmadreza

doi:10.1016/j.ijthermalsci.2023.108391

Cited by 4 publications

(2 citation statements)

References 68 publications

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“…The focus of most research lies in understanding nanoconfined methane transport and adsorption capacity, representing gas production and geological reserves, respectively [13,14]. The traditional Darcy function, rooted in the Navier-Stokes (NS) equation, falls short of predicting nanoconfined methane flow capacity.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Wettability Effect and Adsorption Thickness on Nanoconfined Methane Phase Behavior: Vapor-Liquid Co-Existence Curves and Phase Diagrams

Wu,

Zeng,

Cheng

et al. 2024

Processes

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Research interest in the behavior of methane inside nanopores has been growing, driven by the substantial geological reserves of shale gas and coalbed methane. The phase diagram of methane in nanopores differs significantly from its bulk state, influencing its existing form and pertinent physical properties—such as density and viscosity—at specific pressures and temperatures. Currently, there is a lack of effort to understand the nanoconfinement effect on the methane phase diagram; this is a crucial issue that needs urgent attention before delving into other aspects of nanoconfined methane behavior. In this study, we establish a fully coupled model to predict the methane phase diagram across various scales. The model is based on vapor-liquid fugacity equilibrium, considering the shift in critical pressure and temperature induced by pore size shrinkage and adsorption-phase thickness. Notably, our proposed model incorporates the often-overlooked factor of capillary pressure, which is greatly amplified by nanoscale pore size and the presence of the adsorption phase. Additionally, we investigated the impact of surface wettability, correlated to capillary pressure and the shift in critical properties, on the methane phase diagram. Our results indicate that (a) as pore size decreases, the methane phase diagram becomes more vertical, suggesting a transition from a gaseous to a liquid state for some methane molecules, which is contrary to the conventional phase diagram; (b) enhancing surface wettability results in a more vertical phase diagram, with the minimum temperature corresponding to 0 MPa pressure on the phase diagram, increasing by as much as 87.3%; (c) the influence of capillary pressure on the phase diagram is more pronounced under strong wettability conditions compared to weak wettability, and the impact from the shift in critical properties can be neglected when the pore size exceeds 50 nm.

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Section: Introductionmentioning

confidence: 99%

The Influence of Wettability Effect and Adsorption Thickness on Nanoconfined Methane Phase Behavior: Vapor-Liquid Co-Existence Curves and Phase Diagrams

Wu,

Zeng,

Cheng

et al. 2024

Processes

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“…Due to the complex nature of the investigated system, e.g., geometrical discontinuities, molecule adsorption on walls, or even the extension of the wall force field inside neighboring fluid layers [ 25 ], EMD approaches are less applicable and NEMD has to be employed [ 26 ]. Nevertheless, both in EMD and NEMD, the calculation of the diffusion coefficient, shear viscosity, and thermal conductivity requires complex relationships, such as the Green–Kubo (GK) equations, which are computationally intensive and rely on expensive experimental procedures [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods

et al. 2023

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In this paper, we propose an alternative road to calculate the transport coefficients of fluids and the slip length inside nano-conduits in a Poiseuille-like geometry. These are all computationally demanding properties that depend on dynamic, thermal, and geometrical characteristics of the implied fluid and the wall material. By introducing the genetic programming-based method of symbolic regression, we are able to derive interpretable data-based mathematical expressions based on previous molecular dynamics simulation data. Emphasis is placed on the physical interpretability of the symbolic expressions. The outcome is a set of mathematical equations, with reduced complexity and increased accuracy, that adhere to existing domain knowledge and can be exploited in fluid property interpolation and extrapolation, bypassing timely simulations when possible.

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Lightweight, high-strength, thermal- and sound-insulating reed scraps/portland cement composite using extruded resin particles

Yang,

Wu,

Zuo

et al. 2024

Construction and Building Materials

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Conductive heat transfer through nanoconfined argon gas: From continuum to free-molecular regime

Cited by 4 publications

References 68 publications

The Influence of Wettability Effect and Adsorption Thickness on Nanoconfined Methane Phase Behavior: Vapor-Liquid Co-Existence Curves and Phase Diagrams

The Influence of Wettability Effect and Adsorption Thickness on Nanoconfined Methane Phase Behavior: Vapor-Liquid Co-Existence Curves and Phase Diagrams

Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods

Lightweight, high-strength, thermal- and sound-insulating reed scraps/portland cement composite using extruded resin particles

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