THERMAL SCIENCE

International Scientific Journal

NEURAL NETWORKS PARADIGM FOR ROTATING FLOW OF JEFFREY FLUID WITH HEAT TRANSFER BETWEEN TWO PARALLEL HORIZONTAL PLATES

ABSTRACT
The current research explores the analysis of heat transfer in the rotating Jeffrey fluid between two parallel plates, employing the BLMS-ANN approach based on the back propagation Levenberg-Marquardt scheme. The fluid-flow is initially described by a system of PDE, which is subsequently transformed into a system of ODE through appropriate correspondence transformations and boundary conditions. Eventually, the equations are rendered dimensionless using a boundary-layer approximation. By changing parameters including the radiation parameter, Rd, Deborah number, λ, viscosity parameter, R, Prandtl number, Reynolds number, and Rotation parameter, kr, using the differential transform method, a group of data for suggested BLMS-ANN is constructed for several cases. To assess the predicted outcomes for specific scenarios, the BLMS-ANN methodology undergoes testing validation and training. Subsequently, the proposed model is scrutinized for confirmation. The validity of the suggested BLMS-ANN approach is confirmed through regression analysis, examination of mean square error, and histogram studies. The suggested method differs from both the proposed and reference results with an accuracy level between.
KEYWORDS
PAPER SUBMITTED: 2025-02-10
PAPER REVISED: 2025-05-19
PAPER ACCEPTED: 2025-07-21
PUBLISHED ONLINE: 2025-09-26
DOI REFERENCE: https://doi.org/10.2298/TSCI2505681M
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 5, PAGES [3681 - 3696]
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2025 Society of Thermal Engineers of Serbia. Published by the Vinča 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