Conjugate heat and mass transfer in continuous processes of convective drying

Dolinskiy, A. A.; Dorfman, A. Sh.; Davydenko, B. V.

doi:10.1016/0017-9310(91)90248-d

Cited by 29 publications

(12 citation statements)

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“…The Boussinesq approximation was assumed for the boundary layer momentum equation. Dolinskiy et al [32] employed a similar model to simulate the drying of a thick slab for the initial period of drying (moisture content exceeded the maximum sorption moisture content). The authors found that the analogy between heat and mass transfer, often employed to predict transfer coefficients, was not applicable.…”

Section: Numerical Modelling: Coupling Ham With Cfdmentioning

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

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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 Cfdmentioning

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

“…Dolinskey et al [8] in a conjugate study of paper drying have shown that results of solution by conjugate view differ considerably from those of a decoupled system. Also, the analogy between heat and mass transfer coefficients may not exist in reality, even in drying of one-dimensional objects.…”

Section: Introductionmentioning

confidence: 90%

“…Non-isothermal diffusion coefficient of porous body in vapor phase, D tv =1(10) 12 Non-isothermal diffusion coefficient of porous body in liquid phase, D tl =1(10) 12 Iso-thermal diffusion Coefficient of porous body in vapor phase, D mv =1(10) 12 Iso-thermal diffusion Coefficient of porous body in liquid phase, D ml =1(10) 8 Enthalpy …”

Section: Problem Statementmentioning

confidence: 99%

A numerical study on drying of porous media

Amanifard

Haghi

2008

Korean J. Chem. Eng.

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In this study, two-dimensional conjugate heat and mass transfer in porous body and drying air during the drying process were numerically investigated by finite volume (FV) method, which guarantees the conservation of mass, momentum and the energy during the numerical solution. The full NS-equations (including buoyancy terms), energy equation and concentration equation are considered for external flow and for porous field coupled energy and moisture transfer equations are used. The numerically captured curve shows the same behavior of the drying process. Drying flow velocity shows proportional effect on moisture removal rate with a factor between 1 / 4 and 1 / 5 in Reynolds range of 50 to 1,000. Also, buoyancy forces have an effect on flow streamlines, the distribution of vapor concentration, moisture profile, and considerably increase drying rate. This increment was investigated in Reynolds number range of 50 to 1,000, and its minimum value was found in a Reynolds number of 1,000, which was about 15 percent.

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“…Therefore, the moisture gradient resulting from this migration of moisture from within the heated product, where it has high vapor pressure, through micropores to the moisture surface, where it is evaporated into the surrounding atmosphere as water vapor with a lower partial pressure. Drying solid products/objects is a very broad area and many experimental and theoretical investigations have appeared in the literature e.g., (Akiyama, Liu, & Hayakawa, 1997;Dincer & Dost, 1996;Dincer, Sahin, Yilbas, Al-Farayedhi, & Hussain, 2000;Dincer, 1998a;Dincer, 1998b;Dolinskiy, Dorfman, & Davydenko, 1991;Izumi & Hayakawa, 1995;Jia, Sun, & Cao, 2000;Kudra & Mujumdar, 1995;Perre, Moser, & Martin, 1993;Ratti & Mujumdar, 1997;Seyed-Yagoobi, Bell, & Asensio, 1992;Sun & Marrero, 1996). As indicated recently Sahin et al, 2002), determination of drying process parameters in terms of drying coefficient and lag factor; and drying moisture transfer parameters in terms of moisture diffusivity and moisture transfer coefficient of solid products subject to air drying is of great practical importance.…”

Section: Introductionmentioning

confidence: 98%

“…As indicated recently Sahin et al, 2002), determination of drying process parameters in terms of drying coefficient and lag factor; and drying moisture transfer parameters in terms of moisture diffusivity and moisture transfer coefficient of solid products subject to air drying is of great practical importance. In the literature, several studies e.g., (Dincer & Dost, 1996Dincer et al, 2000Dincer et al, 2002;Dincer, 1998a;Dincer, 1998b;Dolinskiy et al, 1991;Jia et al, 2000;Perre et al, 1993;Ratti & Mujumdar, 1997;Sahin et al, 2002;Seyed-Yagoobi et al, 1992) have been undertaken to determine/estimate drying process parameters and drying moisture transfer parameters for solids drying.…”

Section: Introductionmentioning

confidence: 99%