A Spectral Numerical Investigation of Hybrid Nanoliquid Flow over a Porous Wedge: Effects of Heat Transfer, Brownian Motion, and Activation Energy

This investigation meticulously examines the influence of activation energy, thermophoresis, Brownian motion, and magnetic fields on the flow dynamics and heat transfer characteristics of a non-Newtonian hybrid nanofluid comprising aluminum oxide (Al2O3), copper (II) oxide (CuO), and ethylene glycol over a horizontally stretching porous wedge. This research addresses the imperative need for enhancing energy transfer and thermal management systems, which possess considerable technical significance and industrial relevance. The flow equations were formulated into ordinary differential equations through the use of similarity transformations, which in turn were solved numerically by employing the spectral relaxation (SR) scheme. The findings indicate that the Brownian motion, activation energy, wedge angle, and magnetic field intensity are pivotal determinants of the system’s flow and thermal behavior. In particular, an increase in the wedge angle correlates with an augmentation of the Nusselt number while concurrently diminishing the thermal and diffusion profiles. A comparative analysis of the current investigation and earlier scrutiny revealed that hybrid nanofluids enhance mass and energy transfer rates in both studies. The novelty of this investigation is anchored in its comprehensive exploration of magneto-flow dynamics and the characteristics of hybrid nanofluids within the context of porous wedge-shaped geometries and external magnetic influences. The findings of this study extend previous research by offering quantitative elucidation regarding how pivotal parameters, such as wedge angles, activation energy, thermophoresis, and Brownian motion, affect heat and mass transfer phenomena, thus laying a robust groundwork for the optimization of hybrid nanofluid applications in engineering and industrial environments. The results are in robust agreement with the existing body of literature, thereby affirming the contributions of this study to the academic discourse in the field.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2026-07-27
DOI
https://doi.org/10.3390/mca31040143
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

A Spectral Numerical Investigation of Hybrid Nanoliquid Flow over a Porous Wedge: Effects of Heat Transfer, Brownian Motion, and Activation Energy

Mian Muhammad Kamal, Anwar Shahid, Muhammad Shafiq, Yumei Lin et al.
Mathematical and Computational Applications
Nanofluid Flow and Heat Transfer
article

A Spectral Numerical Investigation of Hybrid Nanoliquid Flow over a Porous Wedge: Effects of Heat Transfer, Brownian Motion, and Activation Energy

Mian Muhammad Kamal, Anwar Shahid, Muhammad Shafiq, Yumei Lin, Habib Khan
article en

Abstract

This investigation meticulously examines the influence of activation energy, thermophoresis, Brownian motion, and magnetic fields on the flow dynamics and heat transfer characteristics of a non-Newtonian hybrid nanofluid comprising aluminum oxide (Al2O3), copper (II) oxide (CuO), and ethylene glycol over a horizontally stretching porous wedge. This research addresses the imperative need for enhancing energy transfer and thermal management systems, which possess considerable technical significance and industrial relevance. The flow equations were formulated into ordinary differential equations through the use of similarity transformations, which in turn were solved numerically by employing the spectral relaxation (SR) scheme. The findings indicate that the Brownian motion, activation energy, wedge angle, and magnetic field intensity are pivotal determinants of the system’s flow and thermal behavior. In particular, an increase in the wedge angle correlates with an augmentation of the Nusselt number while concurrently diminishing the thermal and diffusion profiles. A comparative analysis of the current investigation and earlier scrutiny revealed that hybrid nanofluids enhance mass and energy transfer rates in both studies. The novelty of this investigation is anchored in its comprehensive exploration of magneto-flow dynamics and the characteristics of hybrid nanofluids within the context of porous wedge-shaped geometries and external magnetic influences. The findings of this study extend previous research by offering quantitative elucidation regarding how pivotal parameters, such as wedge angles, activation energy, thermophoresis, and Brownian motion, affect heat and mass transfer phenomena, thus laying a robust groundwork for the optimization of hybrid nanofluid applications in engineering and industrial environments. The results are in robust agreement with the existing body of literature, thereby affirming the contributions of this study to the academic discourse in the field.

Mathematical and Computational ApplicationsVol. 31(4)
Quanzhou Normal University (CN), Guangzhou University (CN), National University of Technology (PK), National University of Sciences and Technology (PK)
Affordable and clean energy
Openalex Percentile: Top 16%
Nanofluid Flow and Heat Transfer
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