Analysis of convective heat and mass transfer coefficients for convective drying of a porous flat plate by conjugate modelling

Defraeye, Thijs; Blocken, Bje Bert; Carmeliet, JE Jan

doi:10.1016/j.ijheatmasstransfer.2011.08.047

Cited by 87 publications

(95 citation statements)

References 30 publications

(46 reference statements)

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“…The transfer coefficients clearly showed dependency on the surface moisture distribution. Similar results were found by Defraeye et al [14]. To implement these effects of varying transfer coefficients, it is possible to use CFD as a tool to predict the transfer coefficients.…”

Section: Numerical Modelling: Coupling Ham With Cfdsupporting

confidence: 83%

“…With the model, it was possible to predict the microclimate around valuable objects such as paintings. Other attempts of combining CFD and HAM can be found in Mortensen et al [13] and Defraeye et al [14]. Defraeye applied an external coupling procedure and used a separate CFD and HAM model which were then combined by transferring and setting the boundary conditions from one model to the other.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validation of a coupled heat, vapour and liquid moisture transport model for porous materials implemented in CFD

Belleghem

Steeman

Janssen

et al. 2014

Building and Environment

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Moisture-related damage is an important issue when looking at the performance of building envelopes. In order to accurately predict the moisture behaviour of building components, building designers can resort to Heat, Air and Moisture (HAM) models. In this paper a newly developed heat and mass transfer model that is implemented in a 3D finite volume solver, Fluent®, is presented. This allows a simultaneous modelling approach of both the convective conditions surrounding a porous material and the heat and moisture transport in the porous material governed by diffusion. Unlike most HAM models that often confine to constant convective transport coefficients it is now possible to better predict these convective boundary conditions. An important application of the model is the convective drying of porous building materials. Especially during the first drying stage, the drying rate is determined by the convective boundary conditions. The model was validated against a convective drying experiment from literature, in which a saturated ceramic brick sample is dried by flowing dry air over one side of the sample surface. Temperature and relative humidity measurements at different depths in the sample, moisture distribution profiles and mass loss measurements were compared with simulation results. An overall good agreement between the coupled model and the experiments was found, however, the model predicted the constant drying rate period better than the falling rate period. This was improved by adjusting the material properties. The adjustment of the material properties was supported by neutron radiography measurements.

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Section: Numerical Modelling: Coupling Ham With Cfdsupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Validation of a coupled heat, vapour and liquid moisture transport model for porous materials implemented in CFD

Belleghem

Steeman

Janssen

et al. 2014

Building and Environment

View full text Add to dashboard Cite

show abstract

“…In recent years, many investigators like Mujumdar, Tsotsas, and Zbicinski have devoted their research to drying mathematical model of conjugated transport of moisture content and heat flux through porous medium [4][5][6][7]. Ranjan et al [8] reported a two-dimensional diffusion model describing the heat and mass, momentum transfer to predict the drying rate of bananas.…”

Section: Introductionmentioning

confidence: 99%

“…Wawrzyniaka et al [11] presented a CFD modeling of heat and mass transfer during spray drying process. Although numerous studies have been published concerning heat and moisture transfer model under different dimensions, mostly in mathematical analysis of the drying rate, the temperature and water content distribution within different materials, cortex effect [12], and the evaporation and diffusion transport properties [13], little literature is available on the effect of thermophysical properties on the convective drying kinetics by taking the conjugated heat and mass transfer effects into account [14,15].…”

Section: Introductionmentioning

confidence: 99%

Effect of Thermophysical Properties on Coupled Heat and Mass Transfer in Porous Material during Forced Convective Drying

Cai

Zhu

Shi-lin

et al. 2014

Advances in Mechanical Engineering

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The convective drying kinetics of porous medium was investigated numerically. A mathematical model for forced convective drying was established to estimate the evolution of moisture content and temperature inside multilayered porous medium. The set of coupled partial differential equations with the specified boundary and initial conditions were solved numerically using a MATLAB code. An experimental setup of convective drying had been constructed and validated the theoretical model. The temperature and moisture content of the potato samples were dynamically measured and recorded during the drying process. Results indicate that thermal diffusion coefficient has significant positive impact on temperature distribution and mass diffusion coefficient might directly affect the moisture content distribution. Soret effect has a significant impact on heat flux and temperature distribution in the presence of large temperature gradient.

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“…Attempts of combining CFD and HAM can be found in Mortensen et al (2007) and Defraeye et al (2012). Defraeye applied an external coupling procedure and used a separate CFD and HAM model which were then combined by transferring and setting the boundary conditions from one model to the other.…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Transient Modeling of Energy and Mass Transfer in Porous Building Components using COMSOL Multiphysics

Maliki¹,

Laredj²,

Bendani³

et al. 2017

JAFM

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This paper reports on a transient heat, air and moisture transfer (HAM) model. The governing partialdifferential equations are simultaneously solved for temperature and capillary pressure through multi-layered porous media, including the non-linear transfer and storage properties of materials. Using partial differential equations functions, some thermo-physical properties of porous media are converted into coefficients depending on temperature and capillary pressure. Major features of the model are multi-dimensional and transient coupling of heat, air and moisture transport. The coupled equations are solved using the COMSOL Multiphysics time-dependent solver. This solver enables HAM (Heat, Air, Moisture) modeling in porous media. Besides, the good agreements obtained with a 2D benchmark suggest that the model can be used to assess the hygrothermal performance of building envelope components. This paper concludes that the total heat flux in the insulated wall represents only the quarter of that crossing the uninsulated concrete roof. On the other hand, the concrete having the lowest water vapour permeability of all used materials allows maintaining the vapour pressure levels close to the initial value (10 3 Pa). This induces a situation of interstitial condensation within the concrete of the roof. Being able to evaluate the hygrothermal behaviour, the proposed model may turn out to be a valuable tool to solve other building problems.

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Analysis of convective heat and mass transfer coefficients for convective drying of a porous flat plate by conjugate modelling

Cited by 87 publications

References 30 publications

Validation of a coupled heat, vapour and liquid moisture transport model for porous materials implemented in CFD

Validation of a coupled heat, vapour and liquid moisture transport model for porous materials implemented in CFD

Effect of Thermophysical Properties on Coupled Heat and Mass Transfer in Porous Material during Forced Convective Drying

Two-Dimensional Transient Modeling of Energy and Mass Transfer in Porous Building Components using COMSOL Multiphysics

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