Numerical simulation of complete liquid–vapour phase change process inside porous media using smoothing of diffusion coefficient

Mendes, Miguel A.A.; Trimis, D.; Ray, Subhashis

doi:10.1016/j.ijthermalsci.2014.08.003

Cited by 37 publications

(65 citation statements)

References 36 publications

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“…A newly proposed smoothing algorithm [14] is adopted in order to deal with the discontinuity in the effective diffusion coefficient, which proves to be essential for successfully avoiding the occurrence "jump" in the predicted temperature. Present results clearly indicate that operating conditions and the geometry of diffuser strongly affect the outlet condition of steam, whereas, porous media properties have only minor influence.…”

Section: Discussionmentioning

confidence: 99%

“…As it will be shortly apparent, such discontinuities, under certain conditions, can produce non-physical "jump" in the predicted temperature. In order to eliminate these discontinuities, smoothing functions for * h  are applied, following the suggestion of Alomar et al [14], for the following four regions: i) sub-cooled liquid phase, close to T=T sat , ii) superheated vapor phase, close to T=T sat , iii) two-phase region, close to s=1 and iv) two-phase region, close to s=0. The overall smoothing algorithm is briefly described next in this section.…”

Section: B Treatment Of Diffusion Coefficientmentioning

confidence: 99%

“…2 clearly shows that the effective diffusion coefficient, other than being a strong function of H * , is discontinuous at saturated liquid and vapor conditions. It is obvious that the application of smoothing algorithm, suggested by Alomar et al [14] restricts the effective diffusivity to finite values, i.e., preventing it from going to zero, at s=0 and s=1 in the two-phase region. It may be further noted that the drastic change in * h  is more prominent close to the saturated vapor condition, even after employing the proposed smoothing algorithm; perhaps explaining the reason for not using the TPMM of Wang [8] for the simulation of phase change process inside porous media from the two-phase mixture to the superheated vapor state.…”

Section: B Treatment Of Diffusion Coefficientmentioning

confidence: 99%

“…Perhaps this can be explained by the presence of discontinuity in the modeled effective diffusion coefficient close to saturated liquid and vapor phases, which may lead to non-physical "jump" in the predicted temperature. In order to deal with such discontinuity and enable simulation of complete phase change process within porous media based on the TPMM [8], present authors proposed a smoothing algorithm for the effective diffusion coefficient [14].…”

Section: Introductionmentioning

confidence: 99%

“…The aim of the present work, therefore, is to numerically investigate the complete phase change process inside a divergent porous evaporator using TPMM [8] and its modification [14] with one-dimensional formulation. In addition, the interaction between phases (liquid to two-phase and two-phase to vapor) and effects of different parameters such as porosity, outlet pipe diameter, heat flux, pipe length, length of divergent section and inlet velocity on the flow and temperature fields are also considered for simulations.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Simulation of Complete Liquid-Vapor Phase Change inside Divergent Porous Evaporator

Mendes¹,

Trimis²,

Ray³

2014

IJMMM

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Abstract-Complete phase change process within a divergent porous evaporator is numerically investigated in this paper. A smoothing algorithm, proposed by the present authors, is used in order to deal with the discontinuity in effective diffusion coefficient. Effects of various parameters on the temperature distribution are carefully investigated, which clearly indicate that operating conditions and the geometry of diffuser strongly influence the outlet condition of steam, whereas, porous media properties have only minor impact.Index Terms-Complete phase change, divergent evaporator, porous media, smoothing of diffusion coefficient.

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Section: Discussionmentioning

confidence: 99%

Section: B Treatment Of Diffusion Coefficientmentioning

confidence: 99%

Section: B Treatment Of Diffusion Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of Complete Liquid-Vapor Phase Change inside Divergent Porous Evaporator

Mendes¹,

Trimis²,

Ray³

2014

IJMMM

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Fluid Flow Study in a 3D‐Printed Heterogeneous Porous Medium Filled with Carbonate Rock Particles

Sapucaia da Silva Junior,

Fontana,

de Lima Luz Junior

2024

Chem Eng & Technol

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A significant aspect of fluid flow in a porous medium is its properties' variation which affects velocity and pressure fields. This work evaluates fluid flow in a 3D‐printed porous medium structure filled with rocky particles. The experimental data were used to propose a pressure drop model and evaluate the accuracy of a pseudohomogeneous approximation. A porous medium with permeability of 8.95 × 10−10 m2 was used in both experiments and simulations. Parameters for the model were estimated and compared to the simulation results. The deviation between experimental and simulated pressure drop across the bed was within 6.00 % for laminar flow regimes, while for transition flow regimes more significant deviations were observed.

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A thermal nonequilibrium model to natural convection inside non‐Darcy porous layer surrounded by horizontal heated plates with periodic boundary temperatures

2021

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This article displays a numerical investigation on natural convection within non‐Darcy porous layer surrounded by two horizontal surfaces having sinusoidal temperature profiles with difference in phase and wave number. The Darcy–Brinkman–Forchheimer model and local thermal nonequilibrium condition have been employed. Simulations have been performed for wide ranges of inertia coefficient (10–4 ≤ Fs/Pr* ≤ 10–2), thermal conductivity ratio (0.1 ≤ K r ≤ 100), phase difference (0 ≤ β ≤ π), modified Rayleigh number (200 ≤ Ra* ≤ 1000), wavelength (3 ≤ k ≤ 12), and nondimensional heat transfer coefficient (0.1 ≤ H ≤ 100). Results demonstrate that Nusselt number highly relies on Fs/Pr*, K r, β, Ra*, and k as compared to H. A considerable enhancement in fluid, solid, and overall Nusselt numbers has been observed with diminishing Fs/Pr* and β and increasing k, K r, and H. The raising in β has a significant impact on Nu for smaller k and this effect is almost ignored when k > 12. The increase in Ra*, K r, β, and H and decrease in Fs/Pr* and k acts to reduce the severity of nonequilibrium zone and increase the size of thermal equilibrium zone. The influence of H on nonequilibrium area is more evident than K r.

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Numerical simulation of complete liquid–vapour phase change process inside porous media using smoothing of diffusion coefficient

Cited by 37 publications

References 36 publications

Simulation of Complete Liquid-Vapor Phase Change inside Divergent Porous Evaporator

Simulation of Complete Liquid-Vapor Phase Change inside Divergent Porous Evaporator

Fluid Flow Study in a 3D‐Printed Heterogeneous Porous Medium Filled with Carbonate Rock Particles

A thermal nonequilibrium model to natural convection inside non‐Darcy porous layer surrounded by horizontal heated plates with periodic boundary temperatures

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