Pore-Network Modeling of Isothermal Drying in Porous Media

Yiotis, A. G.; Stubos, A.K.; Boudouvis, Andreas G.; Tsimpanogiannis, Ioannis N.; Yortsos, Y.C.

doi:10.1007/s11242-004-5470-8

Cited by 57 publications

(49 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The interested reader is referred to literature work, in which film effects are modeled -and shown to be crucial -for pores with square or polygonal cross Sect. [6,12]. Besides this, gravitational effects can be modeled by introducing heightdependent hydrostatic pressure [4].…”

Section: Transport Phenomenamentioning

confidence: 99%

Network models for capillary porous media: application to drying technology

Metzger

Tsotsas

2010

Chemie Ingenieur Technik

View full text Add to dashboard Cite

Network models offer an efficient pore-scale approach to investigate transport in partially saturated porous materials and are particularly suited to study capillarity. Drying is a prime model application since it involves a range of physical effects: capillary pumping, viscous liquid flow, phase transition, vapor diffusion, heat transfer, but also cracks and shrinkage.This review article gives an introduction to this modern technique addressing required model input, sketching important elements of the computational algorithm and commenting on the nature of simulation results. For the case of drying, it is illustrated how network models can help analyze the influence of pore structure on process kinetics and gain a deeper understanding of the role of individual transport phenomena. Finally, a combination of pore network model and discrete element method is presented, extending the application range to mechanical effects caused by capillary forces.

show abstract

Section: Transport Phenomenamentioning

confidence: 99%

Network models for capillary porous media: application to drying technology

Metzger

Tsotsas

2010

Chemie Ingenieur Technik

View full text Add to dashboard Cite

show abstract

“…Nowicki et al 1992;Laurindo and Prat 1998;Plourde and Prat 2003;Yiotis et al 2001Yiotis et al , 2005Segura and Toledo 2005). To our knowledge, all networks used for drying simulations were regular ones: square for two-dimensional and cubic for three-dimensional modelling.…”

Section: Network Models: Influence Of Pore Structure On Drying Kineticsmentioning

confidence: 99%

Modern Modelling Methods in Drying

et al. 2006

View full text Add to dashboard Cite

Several modern modelling techniques are presented as tools for drying science and technology, namely pore networks, discrete element method and population balances. After first presenting results from their own research, the authors indicate what future contributions to a better understanding of the drying process at different levels-single porous particles, agitated and fluidised beds-may be expected. NomenclatureA Pore throat cross section [m 2 ] c p Heat capacity [kJ kg −1 K −1 ] f Number density [m −3 kg −1 ] G Rate of drying/wetting [kg s −1 ] L Capillary or pore throat length [m] l Amount of liquid [kg] M Mass flow rate [kg s −1 ] M Molar mass [kg kmol −1 ] m l Liquid mass density [kg −3 ] N mix Mixing number [-] n Rotational frequency [s −1 ] n Number density [s −1 ] or [m −3 ] n Number flow rate [s −2 ] T. 104 Thomas Metzger et al. R Ideal gas constant [kJ kmol −1 K −1 ] p Pressure [Pa] r Radius [m] r 0 Mean radius [m] s Meniscus position [m] T Absolute temperature [K] t Time [s] t mix Revolution time [s] t R Mixing time [s] v Particle volume [m 3 ] z Space coordinate [m] Greek symbols α Heat transfer coefficient [W m −2 K −1 ] β Mass transfer coefficient [m s −1 ] β Agglomeration kernel [s −1 ] δ Binary diffusion coefficient [m 2 s −1 ] ζ Dimensionless position [-] η Dynamic viscosity [Pa s] λ Thermal conductivity [Wm −1 K −1 ] ν Dimensionless drying rate [-] ρ Density [kg m −3 ] σ Surface tension [N m −1 ] σ 0 Radius standard deviation [m] τ Age of particle [s] ψ Porosity [-]

show abstract

“…A variety of models, such as capillary models [1][2][3][4] , process-based models [5][6][7] , random packing models [8][9][10][11] , pore-scale network models [12][13][14][15][16] , and statistical models [17][18][19][20][21][22][23] , have been proposed to characterize the porous structure and its physical, mechanical and chemical responses. Roughly, these models can be classified into reconstruction models and non-reconstruction models.…”

Section: Introductionmentioning

confidence: 99%

A statistical model for porous structure of rocks

Yang

Song

et al. 2008

Sci. China Ser. E-Technol. Sci.

View full text Add to dashboard Cite

The geometric features and the distribution properties of pores in rocks were investigated by means of CT scanning tests of sandstones. The centroidal coordinates of pores, the statistic characterristics of pore distance, quantity, size and their probability density functions were formulated in this paper. The Monte Carlo method and the random number generating algorithm were employed to generate two series of random numbers with the desired statistic characteristics and probability density functions upon which the random distribution of pore position, distance and quantity were determined. A three-dimensional porous structural model of sandstone was constructed based on the FLAC 3D program and the information of the pore position and distribution that the series of random numbers defined. On the basis of modelling, the Brazil split tests of rock discs were carried out to examine the stress distribution, the pattern of element failure and the inosculation of failed elements. The simulation indicated that the proposed model was consistent with the realistic porous structure of rock in terms of their statistic properties of pores and geometric similarity. The built-up model disclosed the influence of pores on the stress distribution, failure mode of material elements and the inosculation of failed elements.porous structure, statistical model, random numbers, reconstruction, rocks

show abstract

Pore-Network Modeling of Isothermal Drying in Porous Media

Cited by 57 publications

References 30 publications

Network models for capillary porous media: application to drying technology

Network models for capillary porous media: application to drying technology

Modern Modelling Methods in Drying

A statistical model for porous structure of rocks

Contact Info

Product

Resources

About