Discrete models, continuum models and scale transitions for drying porous media

Discrete models, continuum models and scale transitions for drying porous media

Discrete models, continuum models and scale transitions for drying porous media
related fields
Myriads of solid materials (chemicals, foods, pharmaceuticals, ceramics) are produced in liquid phase and then dried, so that respective research is essential for understanding and improving industrial production processes in regard of product quality, process efficiency and energy use. Drying topics are, therefore, important in solids processing and particle technology. Moreover, drying of, e.g., soils is important in agriculture and in nature.
Suggested reading
  • Tsotsas, E., Mujumdar, A.S., Modern Drying Technology, 5 volumes, Wiley-VCH, Weinheim, 2014
  • Mujumdar, A.S., Handbook of Industrial Drying, CRC Press, Boca Raton, 2014
Useful tools
  • Various common process design and flowsheet tools contain modules and options for the computation of drying processes by means of continuum models. To this purpose, Excel and Matlab software is also available in academic groups. Pore network models for drying are usually implemented by in-house codes of research groups. For parts of the task, for example the processing of images and pore network generation from imaging data, open access software can also be used. 
References
  • [1] Suherman, Peglow, M., Tsotsas, E., On the applicability of normalization for drying kinetics, Drying Technology, 26(2008), 90-96 
  • [2] Chen, X.D., Putranto, A., Modelling Drying Processes: A Reaction Engineering Approach, Cambridge University Press, New York, 2013
  • [3] Whitaker, S., Simultaneous heat, mass, and momentum transfer in porous media: A theory of drying, Advances in Heat Transfer, 13(1977), 119-203
  • [4] Vu, H.T., Tsotsas, E., A framework and numerical solution of the drying process in porous media by using a continuous model, Intern. J. Chem. Eng., 2019, 9043670
  • [5] Lu, X., Kharaghani, A., Tsotsas, E., Transport parameters of macroscopic continuum model determined from discrete pore network simulations of drying porous media, Chem. Eng. Sci., 223(2020), 115723
  • [6] Ahmad, F., Prat, M., Tsotsas, E., Kharaghani, A., Two-equation continuum model of drying appraised by comparison with pore network simulations, Intern. J. Heat and Mass Transfer, 194(2022), 123073
  • [7] Joekar-Niasar, V., Hassanizadeh, S.M., Dahle, H.K., Non-equilibrium effects in capillarity and interfacial area in two-phase flow: Dynamic pore-network modelling, J. Fluid Mech., 655(2010), 38-71
  • [8] Mahmood, H.F., Tsotsas, E., Kharaghani, A., The role of discrete capillary rings in mass transfer from the surface of a drying capillary porous medium, Transport Porous Media, 140(2021), 351-369
  • [9] Hiep, K.L., Kharaghani, A., Kirsch, C., Tsotsas, E., Discrete pore network modeling of superheated steam drying, Drying Technol., 35(2017), 1584-1601
  • [10] Zhang, T., Wu, R., Zhao, C.Y., Tsotsas, E., Kharaghani, A., Capillary instability induced gas-liquid displacement in porous media: Experimental observation and pore network model, Phys. Rev. Fluids, 5(2020), 104305
  • [11] Paliwal, S., Panda, D., Bhaskaran, S., Vorhauer-Huget, N., Tsotsas, E., Surasani, V.K., Lattice Boltzmann method to study the water-oxygen distributions in porous transport layer (PTL) of polymer electrolyte membrane (PEM) electrolyser, Intern. J. Hydrogen Energy, 46(2021), 22747-22762
  • [12] Metzger, T., Tsotsas, E., Influence of pore distribution on drying kinetics: A simple capillary model, Drying Technology, 23(2005), 1797-1809