Activation Energy and Buongiorno-Model Effects on Nanofluid Transport

Author(s): Anil Kumar, Dr. Balveer Singh, Dr. Vikas Tailor

Publication #: 2512003

Date of Publication: 09.12.2025

Country: India

Pages: 1-14

Published In: Volume 11 Issue 6 December-2025

DOI: https://doi.org/10.62970/IJIRCT.v11.i6.2512003

Abstract

Nanofluids transport phenomena with the Buongiorno model have received growing interest because they allow the consideration of the effects of Brownian motion and thermophoresis allowing more accurate predictions to be made in advanced thermal systems. The role of activation energy in altering flow, heat and mass transfer characteristics is, however, not exhausted enough. In this paper, this gap is bridged by formulating and solving a mathematical model of steady two-dimensional nanofluid flow based on the activation energy, in Buongiorno model. These nonlinear partial differential equations governing the problem were solved by changing them to dimensionless form and using an effective numerical scheme. Parametric studies were done to examine the effect of Brownian motion, thermophoresis, Prandtl number, Schmidt number, and activation energy on velocity, temperature, and concentration profiles, Nusselt and Sherwood numbers. The findings indicate that raising the activation energy greatly lowers the mass transfer rates and increases the thermal boundary layer thickness a little. To illustrate, a 10 % point addition in activation energy led to a 12.4 % point reduction in the local Sherwood number, a 4.7 % point increase in the thermal boundary layer thickness. The increased thermophoresis parameters increased the concentration boundary layer thickness, whereas increased Brownian motion parameters increased temperature gradients. These results have powerful ramifications on the design of thermal management systems in energy, biomedical and microfluidic contexts. The study goes beyond the research on coupled activation energy-Buongiorno effects to also offer a model on how nanofluids-based systems can be optimized to be more efficient and effective.

Keywords: Buongiorno model, nanofluid transport, activation energy, Brownian motion, thermophoresis, heat and mass transfer.

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