Numerical study of heat generating γ AlO– HO nanofluid inside a square cavity with multiple obstacles of different shapes

Ganesh, N. Vishnu; Javed, Shumaila; Al‐Mdallal, Qasem M.; Kalaivanan, R.; Chamkha, Ali J.

doi:10.1016/j.heliyon.2020.e05752

Cited by 46 publications

(12 citation statements)

References 46 publications

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“…They reported that spherical shape nanoparticles had the minimum impact on entropy generation. Ganesh et al [29] performed a numerical experiment through FEM on the convection of heat generating γ Al 2 O 3 -H 2 O nanofluid filled in a square cavity with multiple circular-, square-, and triangular-shaped obstacles. They found a higher heat transfer rate in the cavity with triangular obstacles.…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle Shape Effect on a Sodium–Alginate Based Cu–Nanofluid under a Transverse Magnetic Field

Rani¹,

Al–Sharifi²,

Zannon³

et al. 2023

Fluid Dynamics &Amp; Materials Processing

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Sodium-alginate (SA) based nanofluids represent a new generation of fluids with improved performances in terms of heat transfer. This work examines the influence of the nanoparticle shape on a non-Newtonian viscoplastic Cu-nanofluid pertaining to this category. In particular, a stretching/shrinking sheet subjected to a transverse magnetic field is considered. The proposed Cu-nanofluid consists of four different nanoparticles having different shapes, namely bricks, cylinders, platelets, and blades dispersed in a mixture of sodium alginate with Prandtl number Pr = 6.45. Suitable similarity transformations are employed to reduce non-linear PDEs into a system of ODEs and these equations and related boundary conditions are solved numerically by means of a Runge-Kutta-Fehlberg (RKF) method. Moreover, analytical solutions are obtained through the application of a MAPLE built-in differential equation solver (Dsolve). The behavior of prominent parameters against velocity and temperature is analyzed. It is found that the temperature increases for all shapes of nanoparticles with the viscoplastic parameter and the Eckert number.

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Section: Introductionmentioning

confidence: 99%

Nanoparticle Shape Effect on a Sodium–Alginate Based Cu–Nanofluid under a Transverse Magnetic Field

Rani¹,

Al–Sharifi²,

Zannon³

et al. 2023

Fluid Dynamics &Amp; Materials Processing

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“…In addition, they have analyzed how the energy flux is greater in magnitude due to concentration gradient and density spectrum. [16] numerically investigated the enhancement in thermal flow by Alumina nanoparticles filled inside a cavity with various shapes of obstacles. Also, they have analyzed the multiple rotating cells that appear inside the cavity due to multiple obstacles.…”

Section: Introductionmentioning

confidence: 99%

Numerical Computation for Modified Cross Model Fluid Flow Around the Circular Cylinder with Symmetric Trapezoidal Cavities

et al. 2022

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This manuscript explores the flow features of the Modified Cross Model in a channel with symmetric trapezoidal cavities in the presence of a circular obstacle. The non-dimensional governing equations and model for different parameters are evaluated via a Galerkin Finite Element Method The system of non-linear algebraic equations is computed by adopting the Newton method. A space involving the quadratic polynomials (P2) has been selected to compute for the velocity profile while the pressure profile is approximated by a linear (P1) finite element space of functions. Simulations are performed for a wide range of physical parameters such as modified parameter (from 0.0 to 0.5), power-law index (from 0.5 to 1.5), relaxation parameter (from 1 to 3), and Reynolds number (from 10 to 40). For the case of a modified parameter (b) and relaxation parameter (λ), it is observed that the drag coefficient (CD) shows an increasing trend while the lift coefficient (CL) is changing sign at lower values of (λ), and then becomes positive at λ=3.

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“…A comparison between exact solution and numerical solution approach for such arterial blood flow problems is also provided. First, we have utilized the exact solution approach to tackle this blood flow problem of curved artery having multiple stenosis and then a numerical solution approach is also considered to uncover the advantages of numerical approach for such complex geometrical structures [20][21][22][23][24][25][26]. The exact solution section contains the results of velocity, pressure gradient and wall shear stress while the numerical approach provides the 2D slice view of flow, 3D flow profile and pressure distribution at different time in this curved artery having multiple stenosis.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis for the hemodynamics mechanism of a curved artery having multiple stenosis

Nadeem

Akhtar

Saleem³

et al. 2022

Preprint

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The surgical intercede firstly requires the spotting and quantification of stenosis. The analysis of blood flow in such arteries lead to the prediction of hemodynamics mechanism in these diseased arteries. It is further helpful in designing the devices that imitates the blood flow and in diagnostic tools formation. The hemodynamics mechanism of a curved artery having multiple stenosis is interpreted. An exact as well as a numerical solution approach is utilized in the present analysis. Since blood flow is usually turbulent in such stenosed arteries and the advantage of using numerical approach is that we have also considered the turbulent flow phenomena in this curved artery. Exact solutions provide the line graphs for this flow problem while the numerical simulations are obtained by using the free source OPENFOAM software. The numerical approach is more convenient to consider the desirable location of stenosis. It means that we can construct various complex geometries with multiple locations of stenosis more conveniently by using the numerical approach.

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Numerical study of heat generating γ AlO– HO nanofluid inside a square cavity with multiple obstacles of different shapes

Cited by 46 publications

References 46 publications

Nanoparticle Shape Effect on a Sodium–Alginate Based Cu–Nanofluid under a Transverse Magnetic Field

Nanoparticle Shape Effect on a Sodium–Alginate Based Cu–Nanofluid under a Transverse Magnetic Field

Numerical Computation for Modified Cross Model Fluid Flow Around the Circular Cylinder with Symmetric Trapezoidal Cavities

Numerical Analysis for the hemodynamics mechanism of a curved artery having multiple stenosis

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