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Three-Dimensional Multiphysics Mathematical Modeling of Heat and Mass Transfer in Stored Raw Cotton Considering Microbiological Heat Generation and Environmental Effects

Ravshanov Normakhmad1Digital Technologies and Artificial Intelligence Research Institute, Sairam Street 25, Tashkent,100170, UzbekistanIstam Shadmanov2Bukhara State University, M Iqbol 11, Bukhara, 200100, Uzbekistan
2026
ABI

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Every year, up to 3-5% of stored raw cotton is lost worldwide due to spontaneous heating, causing significant economic damage and creating fire hazards at cotton processing plants.The development of a three-dimensional mathematical model of heat and mass transfer in a raw cotton bale, taking into account microbiological heat generation, moisture evaporation, air filtration, and external meteorological influences, is a pressing area of research.A system of nonlinear partial differential equations is solved in this study using a finite difference method using a longitudinal-transverse scheme.Cross effects are described within the framework of Onsager thermodynamics.Spatiotemporal distributions of temperature, humidity, and pressure in a bale measuring 20x12x8 m over a period of 20-40 days are obtained.Critical zones with temperatures above 35°C and humidity above 10% are identified.It was found that the maximum risk of spontaneous heating occurs between days 15 and 30 of storage, with the upper-central region of the bin being most at risk.Adding a ventilation opening reduces peak temperatures by 4-6°C.The principal novelty of this work lies in three key aspects: (i) the generalization of the classical Lykov-Mikhailov two-equation model to a three-equation coupled system (temperature-moisture-vapor pressure) that captures barodiffusive and barothermal crosseffects within the Onsager thermodynamic framework; (ii) the integration of microbiological heat generation with a substrate depletion mechanism that realistically limits self-heating; and (iii) the development of a second-order accurate, stable longitudinal-transverse finite-difference scheme for solving the resulting nonlinear system.The proposed model provides a practical tool for designing early-warning monitoring systems, optimizing ventilation strategies, and guiding sensor placement in industrial cotton storage facilities.

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