Numerical Investigation of Jeffrey Nanofluid over a Moving Thin Needle with Exothermic Chemical Reaction: A Levenberg-Marquardt Neural Network Approach

  • R. Krishnakumari Department of Mathematics, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
  • V. Sugunamma Department of Mathematics, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
  • M. Jayachandra Babu Department of Mathematics, Government Degree College, Rajampeta, Andhra Pradesh https://orcid.org/0000-0001-7645-6301
  • J. Girish Kumar Department of Mathematics, Government Degree College, Nagari, Andhra Pradesh, India
Keywords: Thermophoresis, bvp4c, Brownian motion, Couple stress, Activation energy

Abstract

This study examines the heat and mass transmission properties of a Jeffrey nanofluid traveling across a moving slender needle. The main aim is to examine how essential parameters, such as Hall current, couple stress, activation energy, and thermophoresis, affect the fluid's velocity, temperature, concentration, and corresponding entropy generation. The flow configuration of a slender needle is critically pertinent to practical applications, including the thermal design of microneedles for regulated medication delivery, the aerodynamic profiling of slender structural elements in aerospace engineering, and the optimization of delicate sensor probes. With the aid of suitable similarity transformations, the equations which were meant to describe the problem, were transmuted as a framework with nonlinear ordinary equations, and then solved using the bvp4c solver. A notable discovery is that fluid velocity is hindered by augmented magnetic field strength and coupling stresses, while the temperature profile is improved by elevated viscous dissipation and thermophoresis effects. Moreover, the heat transfer rate at the surface decreases as the thermophoresis parameter increases, whereas the mass transfer rate diminishes with higher activation energy. The study indicates that entropy formation, representing energy loss, increases with heightened viscous dissipation and thermal radiation. It is found that the Sherwood number declines by 24.1% when activation energy rises from 0 to 0.8. It is found that the Nusselt number declines by 26.3% when thermophoresis parameter rises from 0 to 2. It is discovered that the friction factor raises by 2.32% when magnetic field parameter escalates from 0 to 2.

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Published
2026-09-07
Cited
How to Cite
R. Krishnakumari, V. Sugunamma, M. Jayachandra Babu, & J. Girish Kumar. (2026). Numerical Investigation of Jeffrey Nanofluid over a Moving Thin Needle with Exothermic Chemical Reaction: A Levenberg-Marquardt Neural Network Approach. East European Journal of Physics, (3), 443-455. https://doi.org/10.26565/2312-4334-2026-3-40