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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.
Abstract: It is shown that the existing approaches to drying process modeling, based on a system of interconnected differential equations of heat and mass transfer or on statistical processing of drying process experimental data, have significant drawbacks. It greatly complicates the development of computer means for controlling production processes. During modeling it is proposed to consider drying process from the standpoint of physical chemistry as a quasi-topochemical heterogeneous reaction and perform mathematical modeling of this process based on the laws of chemical kinetics. The basic issues of methodology of drying process modeling based on the laws of chemical kinetics are reviewed: the study of the equation of drying rate during the removal of free and bound moisture; methods for determining composition of the aqueous fractions with different forms and energy of moisture in materials; methods of determination of an activation energy of moisture; the influence of the concentration of moisture and other process factors on the drying speed. The methodological approach considered in the article allows developing reliable mathematical models of drying kinetics for the purposes of computer technologies for managing production processes and avoiding the errors that the authors note in previously published works.
Vladimir M. Arapov, Dmitriy A. Kazartsev, Igor A. Nikitin, Maria V. Babaeva, Svetlana V. Zhukovskaya, Svetlana N. Tefikova, Galina V. Posnova and Igor V. Zavalishin, “Drying Process Simulation Methodology based on Chemical Kinetics Laws” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110203
@article{Arapov2020,
title = {Drying Process Simulation Methodology based on Chemical Kinetics Laws},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110203},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110203},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Vladimir M. Arapov and Dmitriy A. Kazartsev and Igor A. Nikitin and Maria V. Babaeva and Svetlana V. Zhukovskaya and Svetlana N. Tefikova and Galina V. Posnova and Igor V. Zavalishin}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.