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A MULTI-SCALE ARTIFICIAL INTELLIGENCE FRACTAL CONVECTION DIFFUSION IN A POROUS NANOFIBER MEMBRANE

ABSTRACT
This paper examines the fascinating phenomenon of fractal convection-diffusion in a porous nanofiber membrane. A multi-scale artificial intelligence model has been developed, in which the temporal Caputo fractional derivative, the spatial Riesz fractional derivative, and the traditional derivative for the convection process have been employed. The convection-diffusion process exerts a significant influence on the permeability of the nanofiber membrane. This paper examines the influence of the convection process on the permeability of the membrane. The findings indicate that when the fluid velocity is minimal, the diffusion process assumes control. However, when a certain threshold is reached, the convection process assumes dominance, accelerating the permeability process. The direction of the fractal convection-diffusion process is predominantly influenced by the direction of the fluid-flow.
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PAPER SUBMITTED: 2023-08-27
PAPER REVISED: 2024-09-25
PAPER ACCEPTED: 2024-09-25
PUBLISHED ONLINE: 2025-07-06
DOI REFERENCE: https://doi.org/10.2298/TSCI2503105L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 3, PAGES [2105 - 2112]
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2025 Society of Thermal Engineers of Serbia. Published by the VinĨa Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence