Computational analysis of bioconvective MHD hybrid nanofluid flow of non-Newtonian fluid over cone/plate: A study based on the Cattaneo-Christov heat and mass flux model
The effective use of non-Newtonian fluids is essential in heat and mass transfer applications, such as the use of thermal paste for CPU cooling. This study employs a computational approach to analyze the behavior of non-Newtonian fluids on the surface of a vertical cone and plate, with a focus on en...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000254 |
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| Summary: | The effective use of non-Newtonian fluids is essential in heat and mass transfer applications, such as the use of thermal paste for CPU cooling. This study employs a computational approach to analyze the behavior of non-Newtonian fluids on the surface of a vertical cone and plate, with a focus on enhancing heat transfer through the application of nanofluids. Specifically, the Cattaneo-Christov heat and mass flux model is applied to magnetohydrodynamic (MHD) bio-convective Eyring-Powell hybrid nanofluid flow over a permeable cone and plate. A similarity transformation is used to simplify the complex partial differential equations into ordinary differential equations, which are then solved using the Keller Box finite difference method. The results demonstrate that MHD, porosity, and the Cattaneo-Christov heat and mass flux significantly influence the velocity, temperature, concentration, and microorganism profiles of the hybrid nanofluid flow. In a comparative study between the vertical cone and plate geometries, the vertical plate showed superior heat and mass transfer performance. Additionally, the effects of MHD and porosity are shown to enhance microorganism diffusion by increasing heat and mass transfer rates, leading to more efficient transport processes. A comparison with existing literature shows a strong agreement with previous findings. |
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| ISSN: | 2215-0986 |