Modeling the Drying of Capillary-Porous Materials in a Thin Layer: Application to the Estimation of Moisture Content in Thin-Walled Building Blocks
Source abstract
Abstract
Drying, as a process of changing the moisture content and temperature of capillary-porous materials, is a necessary step in many technologies. When predicting moisture changes, it is necessary to find a balance between the complexity of a model and the accuracy of the simulation results. The purpose of this work was the development of a mathematical model for drying a capillary-porous material with direct consideration of its initial moisture content and drying temperature. Methods of mathematical modeling were used in the work. Using the developed model, an analysis of the features of the drying process of materials with high and low initial moisture content has been carried out. The analytical relationship for determining the time at which the extremum of the drying rate is reached has been substantiated. A model has been developed to directly take into account the influence of the initial material moisture content and drying temperature. The simulation results are consistent with the experiments on drying ceramic blocks for construction which are described in the literature. The obtained results can be taken into account in studies of the effect of drying modes on the energy consumption of a drying process.
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Research context
OpenAlex topics: Hygrothermal properties of building materials · Innovations in Concrete and Construction Materials · Construction Management and Sustainability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Forestry, Mining and Construction Sciences, Petrozavodsk State University, Lenin pr., 33, 185910 Petrozavodsk, Russia
References (29)
Show source-provided references
1. A Review on Thin-Layer Drying-Curve Equations10.1080/07373937.2013.873047 ↗
2. Review of thin-layer drying and wetting equations10.1080/07373939108916697 ↗
3. Conjugate heat and mass transfer model for predicting thin-layer drying uniformity in a compact, crossflow dehydrator10.1080/07373937.2019.1590394 ↗
4. Visser, R., Berkett, H., and Spinelli, R. (2014). Determining the effect of storage conditions on the natural drying of radiata pine logs for energy use. N. Z. J. Sci., 44.10.1186/1179-5395-44-3 ↗
5. A review of structural, thermo-physical, acoustical, and environmental properties of wooden materials for building applications10.1016/j.buildenv.2016.12.033 ↗
6. Sadłowska-Sałęga, A., and Wąs, K. (2020). Risk of Moisture in Diffusionally Open Roofs with Cross-Laminated Timber for Northern Coastal Climates. Buildings, 10.10.3390/buildings10010010 ↗
7. Natural Bio-Based Products for Wood Coating and Protection against Degradation: A Review
8. Semi-analytical solution of Luikov equations for time-periodic boundary conditions10.1016/j.ijheatmasstransfer.2018.02.106 ↗
9. Drying of clay slabs: Experimental determination and prediction by two-dimensional diffusion models10.1016/j.ceramint.2013.03.053 ↗
10. Environmental evaluation of alternative wood-based external wall assembly
11. Multiphysics modeling of water transport in high-intensity lignite drying process on pore scale
12. Modelling of biomass temperature in the drying process10.1051/e3sconf/202015401004 ↗
13. Advanced Computational Modelling for Drying Processes—A Review10.1016/j.apenergy.2014.06.027 ↗
14. Mathematical Modelling and Solar Tunnel Drying Characteristics of Yellow Maize
15. Drying kinetics and effective water diffusivities in olive stone and olive-tree pruning10.1016/j.renene.2018.08.053 ↗
16. Mathematical modeling of lemon verbena leaves drying in a continuous flow dryer equipped with a solar pre-heating system10.15586/QAS2019.658 ↗
17. Suitable model for thin-layer drying of root vegetables and onion10.31545/intagr/115190 ↗
18. Model of wood impregnation after incomplete drying as an additional energy management tool10.1088/1742-6596/1333/3/032033 ↗
19. Using some mathematical models in modeling mushroom drying (agaricus bisporus)10.12732/ijam.v33i1.9 ↗
20. Estimation of energy consumption for drying of forest combustible materials during their preparation for incineration in the furnaces of steam and hot water boilers
21. Kato, Y., Koyama, M., Fukushima, Y., and Nakagaki, T. (2016). Forestry and Wood Industry. Energy Technology Roadmaps of Japan, Springer.10.1007/978-4-431-55951-1 ↗
22. Dong, W., Chen, Y., Bao, Y., and Fang, A. (2020). A validation of dynamic hygrothermal model with coupled heat and moisture transfer in porous building materials and envelopes. J. Build. Eng., 101484.10.1016/j.jobe.2020.101484 ↗
23. Conjugate Heat and Mass Transfer in Drying: A Modeling Review10.1016/j.jfoodeng.2015.08.031 ↗
24. Analytical solution of coupled heat and mass transfer equations during convective drying of biomass: Experimental validation10.1007/s00231-020-02817-w ↗
25. Systems of differential equations of heat and mass transfer in capillary-porous bodies10.1016/0017-9310(75)90002-2 ↗
26. Da Silva, A.M.V., Delgado, J.M.P.Q., Guimarães, A.S., de Lima, W.M.P.B., Gomez, R.S., de Farias, R.P., de Lima, E.S., and de Lima, A.G.B. (2020). Industrial Ceramic Blocks for Buildings: Clay Characterization and Drying Experimental Study. Energies, 13.10.3390/en13112834 ↗
27. De Vasconcellos, M.A., de Brito Correia, B.R., Brandão, V.A.A., de Oliveira, I.R., Santos, R.S., de Oliveira Neto, G.L., de Lucena Silva, L.P., and de Lima, A.G.B. (2020). Convective Drying of Ceramic Bricks by CFD: Transport Phenomena and Process Parameters Analysis. Energies, 13.10.3390/en13082073 ↗
28. A phenomenological model of soil evaporative efficiency using surface soil moisture and temperature data10.1016/j.agrformet.2018.04.010 ↗
29. Drying of silica gels to obtain aerogels: Phenomenology and basic techniques10.1081/DRT-120019055 ↗