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Mathematical model analysis and solution properties of nonlinear filtration processes in multidimensional domains

Mamatov AbrorjonDepartment of Applied Mathematics and computer analysis, Faculty of Applied Mathematics and Intellectual Technologies, National University of Uzbekistan, Tashkent, UzbekistanAziza NurumovaDepartment of Information Technology, Kimyo International University in Tashkent, Tashkent 100121 156, UzbekistanMohammed AlharthiDepartment of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaEman Ghareeb RezkMathematical science department, College of science, Princess Nourah bint Abdlrahman University, P.O.Box 84428, Riyadh 11671, Saudi ArabiaZaid BassfarFaculty of Computing and Information Technology, University of Tabuk, Tabuk 71491, Saudi ArabiaMarwa M. AlzubaidiDepartment of Mathematics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia
2026en
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Litsenziya: cc-by-nc-nd

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This paper investigates a nonlinear thermo-chemical diffusion-reaction system characterized by coupled parabolic equations that govern the spatio-temporal evolution of temperature and concentration-dependent processes. The model incorporates nonlinear diffusion coefficients, cross-coupling terms, and nonlinear source functions, which collectively describe the complex interplay between heat and mass transfer in reactive media. A robust numerical framework is developed based on an Alternating Direction Implicit (ADI) scheme of the Peaceman-Rachford type, allowing for efficient and stable time integration of the nonlinear system. The implementation ensures high computational efficiency and improved numerical stability, particularly for stiff reaction terms and strongly coupled diffusion dynamics. Comprehensive numerical experiments are conducted to validate the accuracy and stability of the proposed scheme. Error convergence analysis confirms the expected second-order spatial and first-order temporal accuracy, while the time-step sensitivity and stability tests demonstrate the robustness of the algorithm under various discretization parameters. Boundary layer behavior is also examined to capture localized gradients and nonlinear interaction patterns. The obtained results reveal that the proposed computational framework accurately reproduces the characteristic thermo-chemical diffusion phenomena and maintains stability even under extreme parameter regimes. The study provides a reliable numerical tool for analyzing multi-scale diffusion-reaction systems relevant to chemical engineering, materials processing, and thermal energy storage applications.

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