MHD Carreau nanoliquid flow over a nonlinear stretching surface

Basha, Neelufer Z.; Vajravelu, K.; Mebarek‐Oudina, Fateh; Sarris, Ioannis E.; Vaidya, Hanumesh; Prasad, K. V.; Rajashekhar, C.

doi:10.1002/htj.22546

Cited by 8 publications

(3 citation statements)

References 39 publications

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“…The new transformed equations are, ℎ 𝑛 (𝛿𝑙 𝑛 + 𝛿𝑙 𝑛−1 ) = (𝑟 5 ) 𝑛 (39) The equations are given below in their condensed form, once more utilizing equations (35)(36)(37)(38)(39) in equations (30)(31)(32)(33); Recalling the precise boundary conditions without iteration, we take steps to make sure that these correct values are preserved across all iterations.…”

Section: Computational Scheme and Solution Methodologymentioning

confidence: 99%

“…Liosis et al [38] studied the combined form of shear and electromagnetic mixing to compute optimization mixing strategies under various initial conditions. The Carreau nanofluid phenomenon for concentration and heat characteristics with variable properties effects along stretchable surface has been considered in [39]. Ullah et al [40] examined the heat rate analysis on electromagnetic vertical surface with MHD and thermal slip effects numerically.…”

Section: Introductionmentioning

confidence: 99%

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Numerical analysis for thermal performance of magnetized radiative nanofluid with variable density

Khan

2023

Preprint

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The majority of study has focused on fluid surfaces with constant surface densities and low ambient temperature differentials. Due to the greater temperature differential with radiation, the density is believed to be an exponential function of temperature. The magnetohydrodynamics (MHD) acts like a coating material to protect technological devices from excessive heating. The main goal of this technique is to prevent excessive heating in high temperature systems by utilising the effects of changing density, MHD, and radiation on the heat and mass properties of nanofluid across stretched sheets. This is the first instance of a density issue with a nanofluid across a stretching surface. For a smooth algorithm and integration, the coupled partial differential equations (PDEs) of the current nanofluid mechanism are transformed into coupled nonlinear ODEs with defined stream functions and similarity variables. By using the Keller Box technique, the modified ODEs are again translated in a comparable format for numerical results. The MATLAB program is used to derive the numerical results, which are then presented in graphs and tabular form. For this phenomenon, the slopes of the velocity, temperature, and concentration profiles have been plotted for various parameters. As n increases, two forces will act on the nanofluid, the first of which causes the velocity to increase due to an increase in buoyancy forces and the second of which causes the velocity to decrease due to a decrease in temperature.

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Section: Computational Scheme and Solution Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical analysis for thermal performance of magnetized radiative nanofluid with variable density

Khan

2023

Preprint

View full text Add to dashboard Cite

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“…Graphs and tables are employed to demonstrate the impact of relevant factors on streamlines, velocity, concentration, and temperature. Sherwood number, Nusselt number, and skin friction numerical values are given in a table for the modifications of various factors analyzed by Basha et al [35]. Using the Mathematica program BVPh2.0 Software, the improved model is estimated using the well-known OHAM technique.…”

Section: Introductionmentioning

confidence: 99%

Utilization of OHAM on mixed convective flow of Williamson fluid model with viscous dissipation over a stretched cylinder

Abbas,

Rafique,

Sohail

2024

UNEC j. eng. appl. sci.

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This research focuses on the fluid dynamics and heat transfer characteristics of the Williamson fluid over a permeable stretched cylinder, accounting for heat generation effects. Incorporating elements such as viscous dissipation, mixed convection, Joule heating, entropy generation, and magnetic field presence, the investigation utilizes the Optimal Homotopy Analysis Method for solution development. Through the process of similarity transformations, the partial differential equations undergo a conversion that results in dimensionless ordinary differential equations. Numerical results from this study align well with existing literature, emphasizing the examination of key dimensionless parameters like Reynolds number, suction parameter, magnetic field parameter, mixed convection parameter, heat source parameter and Williamson fluid parameter. The analysis extends to local Nusselt number and skin friction coefficient computations, offering insights into heat transfer and shear stress rates, correspondingly. Additionally, the research delves into the effects of several physical parameters on temperature and velocity profiles, presenting a comprehensive overview in academic discourse. The study's methodology and findings contribute to the understanding of phenomenon related to heat transfer and fluid flow, making it a valuable addition to the scholarly domain.

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Heat transfer analysis of nanofluid flow with entropy generation in a corrugated heat exchanger channel partially filled with porous medium

Mezaache,

Mebarek‐Oudina,

Vaidya

et al. 2024

Heat Trans

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Heat exchanger research is mainly exploited to develop and optimize new engineering systems with high thermal efficiency. Passive methods based on nanofluids, fins, wavy walls, and the porous medium are the most attractive ways to achieve this goal. This investigation focuses on heat transfer and entropy production in a nanofluid laminar flow inside a plate corrugated channel (PCC). The channel geometry comprises three sections, partially filled with a porous layer located at the intermediate corrugate channel section. The physical modeling is based on the laminar, two‐dimensional Darcy–Brinkman–Forchheimer formulation for nanofluid flow and the local thermal equilibrium model for the heat equation, including the viscous dissipation term. Numerical solutions were obtained using ANSYS Fluent software based on the finite volume technique and the appropriate meshed geometries. The numerical results are validated with theoretical, numerical, and experimental studies. The simulations are performed for CuO–water nanofluid and AISI 304 porous medium. The coupled effects of porous layer thickness (δ), Reynolds number (Re), and nanoparticle fraction (φ) on velocity, streamlines, isotherm contours, Nusselt number (Nu), and entropy generation (S) are analyzed and illustrated. The simulation results demonstrate that heat transfer enhancement in clear PCC can be achieved using a porous layer insert. For the porous thickness range of [0.1–0.6], the corresponding range of average Nusselt number increase is [35.7%–176.9%], and the average entropy generation is [105.4%–771.9%]. The effect of the Reynolds number is more important in a porous duct than in a clear one. For δ = 0.4 and φ = 5%, the increase of Re in the range of [200–500] induces an increase in average Nusselt number in the range of [80.9%–108.4%] and average entropy in [222.9%–309.1%] comparatively to clear PCC. The effect of φ is practically the same for porous and clear channels. For φ = 5%, the increase on average Nu is about 9%, and entropy generation is 5%. Accordingly, important improvements in heat transfer in PCC can be achieved through the combined effect of flow Reynolds number and porous layer thickness.

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MHD Carreau nanoliquid flow over a nonlinear stretching surface

Cited by 8 publications

References 39 publications

Numerical analysis for thermal performance of magnetized radiative nanofluid with variable density

Numerical analysis for thermal performance of magnetized radiative nanofluid with variable density

Utilization of OHAM on mixed convective flow of Williamson fluid model with viscous dissipation over a stretched cylinder

Heat transfer analysis of nanofluid flow with entropy generation in a corrugated heat exchanger channel partially filled with porous medium

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