DEVELOPMENT OF A CELL AUTOMATA MODEL FOR SIMULATION OF THE DRYING PROCESS OF CAPILLARY-POROUS MATERIALS IN PERIODIC ACTION CHAMBERS

2023;
: 57-70
https://doi.org/10.23939/cds2023.01.057
Received: September 19, 2023
Revised: October 03, 2023
Accepted: October 23, 2023
1
Lviv Polytechnic National University, Ukraine
2
Ukrainian National Forestry University

In this work, the main emphasis is placed on the creation of a cellular automaton model for simulating the drying process of capillary-porous materials. The possibility of creating a cell-automatic field for the studied 3D model of a periodic drying chamber is considered. Appropriate algorithms are developed and their software implementation is carried out, since the cellular automata field is one of the key requirements for using the cellular automata method. Another key requirement is the availability of adequate transition rules. For their development, the analysis of mathematical models of heat and moisture transfer processes in periodic drying chambers is carried out. Transition rules are being developed, which make it possible to determine changes in temperature and moisture content of the material, as well as changes in the main parameters of the drying agent, which include temperature and relative humidity. The paper also simulates the drying process of capillary-porous materials based on the developed cellular automaton model, which includes the cellular automaton field and transition rules. The input data for modeling are taken from the parameters of technological conditions that are used in real drying chambers. Pine with a thickness of 45 mm was chosen as the studied capillary-porous material. with an initial moisture content of 65%. As a result of the simulation, graphical dependences of the desired parameters of the material and the drying agent with respect to time were obtained. Verification of the obtained results is carried out by comparing them with data collected by sensors in a real drying chamber. For comparison, a relative error is determined, the average values of which do not exceed 10%. This result confirms the adequacy of the developed model of cellular automata.

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