Thermal Study of Magnetohydrodynamic Nanofluid Flow and Brownian Motion between Parallel Sheets

Zar, Pooriya Majidi; Jalili, Bahram; Jalili, Payam; Ganji, Davood Domiri

doi:10.1016/j.ijft.2024.100806

Cited by 4 publications

References 21 publications

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Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Majidi,

Shateri,

Jalili

et al. 2024

Z Angew Math Mech

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This research uses Python programming to explore the influence of magnetic field strength on a two‐dimensional squeezing nanofluid flow confined between two parallel plates. The primary objective is to examine an aluminum oxide nanofluid's velocity and heat transfer characteristics which are governed by dimensionless parameters such as the Prandtl number and friction coefficient. The non‐dimensionalized differential equations are solved employing two analytical techniques: the Akbari‐Ganji Method and the Homotopy Perturbation Method, both implemented through Python programming. Using Python programming to solve these equations represents a novel approach that offers accurate and efficient results. The study's findings reveal that as the Prandtl number increases, the temperature and thermal properties of the nanofluid flow also increase while the concentration decreases. Additionally, the Nusselt number experiences a decline. The implementation of Python programming in this research showcases the versatility of the language in solving complex mathematical problems, particularly in fluid dynamics. Python's ability to provide accurate solutions efficiently enhances its potential for further applications and advancements in this area.

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Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Majidi,

Shateri,

Jalili

et al. 2024

Z Angew Math Mech

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Numerical analysis of MHD flow in coaxial stretching and rotating cylinders with viscous effect

Bilal,

Khadim,

Mehmood

2024

Z Angew Math Mech

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The effects of viscous force on magnetohydrodynamic flow in coaxial cylinders are discussed in this article. The inner cylinder stretches linearly along the axis, while the outer cylinder rotates with some fixed angular velocity. The movement of the fluid between these concentric cylinders depends on the stretching of the inner cylinder and the outer cylinder's rotation. Understanding this type of flow is crucial for applications in engineering and industrial processes, such as magnetic materials processing and fluid transport in rotating machinery. The inner cylinder's surface is also considered slippery, that is, the first order slip condition is incorporated on the internal cylinder surface. The impact of viscous dissipation is also calculated in the current study. After using suitable transformations, we turn mass conservation, Navier‐stokes, and energy equations into dimensionless ordinary differential equations. Meanwhile, the numerical solutions of these equations are conducted via the shooting method. The numerical outcomes are graphically presented by varying the values of some certain parameters like the curvature parameter, the gap between the cylinders, the magnetic parameter, the slip parameter, and so forth. It is noted that the expanding gap size enhances the velocity of the fluid, accompanied by a rise in the fluid temperature. Additionally, the findings indicate that cylinders with a smaller gap exhibit a higher heat flux rate. The novelty of this work lies in the combined effects of viscous dissipation, slip conditions, and MHD on flow and heat transfer, offering insights beyond what has been previously explored in the literature.

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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids

Raja,

Tayyab,

Malik

et al. 2025

Case Studies in Thermal Engineering

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Thermal Study of Magnetohydrodynamic Nanofluid Flow and Brownian Motion between Parallel Sheets

Cited by 4 publications

References 21 publications

Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Numerical analysis of MHD flow in coaxial stretching and rotating cylinders with viscous effect

Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids

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Thermal Study of Magnetohydrodynamic Nanofluid Flow and Brownian Motion between Parallel Sheets

Cited by 4 publications

References 21 publications

Radiative effects on 2D unsteady MHD Al2O3‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Radiative effects on 2D unsteady MHD Al2O3‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Numerical analysis of MHD flow in coaxial stretching and rotating cylinders with viscous effect

Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids

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Product

Resources

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Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python

Radiative effects on 2D unsteady MHD Al₂O₃‐water nanofluid flow between squeezing plates: A comparative study using AGM and HPM in Python