Darcy–Forchheimer model of auto-catalytic involving rotating micropolar fluid with hall current effect: Backpropagation of Taguchi methodology approach

This study investigates the optimization of auto-catalytic heat transfer in micropolar fluid flows between two rotating plates under the influence of a transverse magnetic field. The main goal is to improve heat transfer by carefully studying how micro-rotation, Hall currents, chemical reactions, and effects of porous materials interact, using the Taguchi method. We develop a comprehensive mathematical model based on Partial Differential Equations (PDEs) to describe the coupled momentum, angular momentum, and energy transport phenomena. The model incorporates non-Newtonian fluid behavior, micro-rotational dynamics, and auto-catalytic reactions within a Darcy–Forchheimer porous medium. Using the Taguchi optimization technique, the study identifies optimal combinations of dimensionless parameters that maximize heat transfer efficiency. Graphical and numerical analyses are conducted to evaluate the individual and combined effects of physical parameters on flow and thermal characteristics. The results demonstrate excellent agreement with established theoretical models, validating the reliability of the proposed approach. Finally, the results show that the Taguchi method improves thermal performance, providing useful information for designing and managing engineering systems that use micropolar fluids in biomedical, industrial, and energy-related fields.

Authors

Institutions

Publication Details

Journal
Modern Physics Letters B
Published
2025-09-19
DOI
https://doi.org/10.1142/s0217984925502422
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Darcy–Forchheimer model of auto-catalytic involving rotating micropolar fluid with hall current effect: Backpropagation of Taguchi methodology approach

Ahmad M. Alshamrani, M. Saraswathy, R. Surendar, Samad Noeiaghdam et al.
Modern Physics Letters B
Nanofluid Flow and Heat Transfer
article

Darcy–Forchheimer model of auto-catalytic involving rotating micropolar fluid with hall current effect: Backpropagation of Taguchi methodology approach

Ahmad M. Alshamrani, M. Saraswathy, R. Surendar, Samad Noeiaghdam, Shyam Sundar Santra, Sameh Askar, R. Vijayalakshmi
article en

Abstract

This study investigates the optimization of auto-catalytic heat transfer in micropolar fluid flows between two rotating plates under the influence of a transverse magnetic field. The main goal is to improve heat transfer by carefully studying how micro-rotation, Hall currents, chemical reactions, and effects of porous materials interact, using the Taguchi method. We develop a comprehensive mathematical model based on Partial Differential Equations (PDEs) to describe the coupled momentum, angular momentum, and energy transport phenomena. The model incorporates non-Newtonian fluid behavior, micro-rotational dynamics, and auto-catalytic reactions within a Darcy–Forchheimer porous medium. Using the Taguchi optimization technique, the study identifies optimal combinations of dimensionless parameters that maximize heat transfer efficiency. Graphical and numerical analyses are conducted to evaluate the individual and combined effects of physical parameters on flow and thermal characteristics. The results demonstrate excellent agreement with established theoretical models, validating the reliability of the proposed approach. Finally, the results show that the Taguchi method improves thermal performance, providing useful information for designing and managing engineering systems that use micropolar fluids in biomedical, industrial, and energy-related fields.

Modern Physics Letters BVol. 39(36)
SRM Institute of Science and Technology (IN), King Saud University (SA), Henan Academy of Sciences (CN), University of Kalyani (IN)
Openalex Percentile: Top 75%
Nanofluid Flow and Heat Transfer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.