Entropy generation in steady MHD flow due to a rotating porous disk in a nanofluid

Rashidi, Majid; Abelman, Shirley; Mehr, Navid Freidooni

doi:10.1016/j.ijheatmasstransfer.2013.03.004

Cited by 674 publications

(251 citation statements)

References 33 publications

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“…With greater injection, the momentum boost results in a reduction in momentum boundary layer thickness. These computations concur with many previous studies in transpiring boundary layer flows of nanofluids (Rashidi et al 2013;Goyal and Bhargava 2013;Rana et al 2013b;Ferdows et al 2013;Hamad et al 2011). The case of the impervious sheet, i.e., solid wall (fw = 0) naturally falls between the injection and suction cases.…”

Section: Resultssupporting

confidence: 89%

“…Rashidi et al (2012) used the homotopy analysis method (HAM) and Mathematica symbolic software to analyze coating flows of a vertical cylinder with nanofluids. Rashidi et al (2013) studied the Von Karman swirl flow of a nanofluid with entropy generation using differential transform methods. Bég et al (2013b) studied both single and two-phase nanofluid dynamics in circular conduits using finite volume numerical codes.…”

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confidence: 99%

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Group analysis and numerical computation of magneto-convective non-Newtonian nanofluid slip flow from a permeable stretching sheet

Uddin

Ferdows

Bég³

2013

Appl Nanosci

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Two-dimensional magnetohydrodynamic boundary layer flow of non-Newtonian power-law nanofluids past a linearly stretching sheet with a linear hydrodynamic slip boundary condition is investigated numerically. The non-Newtonian nanofluid model incorporates the effects of Brownian motion and thermophoresis. Similarity transformations and corresponding similarity equations of the transport equations are derived via a linear group of transformations. The transformed equations are solved numerically using Runge-Kutta-Fehlberg fourth-fifth order numerical method available in the Maple 14 software for the influence of power-law (rheological) index, Lewis number, Prandtl number, thermophoresis parameter, Brownian motion parameter, magnetic field parameter and linear momentum slip parameter. Validation is achieved with an optimized Nakamura implicit finite difference algorithm (NANO-NAK). Representative results for the dimensionless axial velocity, temperature and concentration profiles have been presented graphically. The present results of skin friction factor and reduced heat transfer rate are also compared with the published results for several special cases of the model and found to be in close agreement. The study has applications in electromagnetic nanomaterials processing.

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Section: Resultssupporting

confidence: 89%

mentioning

confidence: 99%

Group analysis and numerical computation of magneto-convective non-Newtonian nanofluid slip flow from a permeable stretching sheet

Uddin

Ferdows

Bég³

2013

Appl Nanosci

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“…Their work was exclusively concerned with the generation of entropy and made the conclusion that the effects of increasing the values of Hartmann, Brinkman and magnetic interaction numbers and reducing Prandtl and Reynolds numbers are similar and lead to an augmentation of the entropy generation. This study was later extended to the configurations including rotating porous discs with ordinary fluids [33] and nanofluid [34]. In addition to these studies, there exists a series of studies on entropy generation by nanofluid flow over permeable surfaces [35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Mixed convection and thermodynamic irreversibilities in MHD nanofluid stagnation-point flows over a cylinder embedded in porous media

Alizadeh

Karimi

Arjmandzadeh

et al. 2018

J Therm Anal Calorim

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The impingement of CuO-water nanofluid flows upon a cylinder subject to a uniform magnetic field with constant surface temperature and embedded in porous media is investigated for the first time in literature. The surface of the cylinder can feature uniform or non-uniform mass transpiration and is hotter than the incoming nanofluid flow. The gravitational effects are taken into account and the three-dimensional governing equations of mixed convection in curved porous media, under magnetohydrodynamic effects, are reduced to those solvable by a finite difference scheme. Through varying a mixed convection parameter, the situations dominated by forced, mixed and free convection are examined systematically. The numerical solutions of these equations reveal the flow velocity and temperature fields as well as the Nusselt number and induced shear stress. These are then used to calculate the rate of entropy generation within the system by viscous and heat transfer irreversibilities. The results show that Nusselt number increases with increasing the concentration of nanoparticles, while it slightly deceases through intensifying the magnetic parameter. Non-uniform transpiration is shown to strongly affect the average rate of heat transfer. Importantly, it is demonstrated that the specific mode of heat convection can majorly influence the intensity of entropy generation and that the irreversibilities are much larger under natural convection compared to those in mixed and forced convection. Calculation of Bejan number shows that this is due to more pronounced relative contribution of viscous irreversibilities when free convection effects dominate the mixed convection process.

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“…They are re-examining all energy consuming, converting, and producing systems and developing new techniques in order to remove all sources that destroy the available work. Improved economics are being proposed around the world to more accurately preserve the present energy supply shortage [23][24][25][26][27][28][29][30][31][32][33][34]. Soudi et al [35] investigated the entropy generation rate in a peristaltic pump.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Entropy Generation in Flow of Methanol-Based Nanofluid in a Sinusoidal Wavy Channel

Qasim

Khan

et al. 2017

Entropy

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Abstract:The entropy generation due to heat transfer and fluid friction in mixed convective peristaltic flow of methanol-Al 2 O 3 nano fluid is examined. Maxwell's thermal conductivity model is used in analysis. Velocity and temperature profiles are utilized in the computation of the entropy generation number. The effects of involved physical parameters on velocity, temperature, entropy generation number, and Bejan number are discussed and explained graphically.

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Entropy generation in steady MHD flow due to a rotating porous disk in a nanofluid

Cited by 674 publications

References 33 publications

Group analysis and numerical computation of magneto-convective non-Newtonian nanofluid slip flow from a permeable stretching sheet

Group analysis and numerical computation of magneto-convective non-Newtonian nanofluid slip flow from a permeable stretching sheet

Mixed convection and thermodynamic irreversibilities in MHD nanofluid stagnation-point flows over a cylinder embedded in porous media

Analysis of Entropy Generation in Flow of Methanol-Based Nanofluid in a Sinusoidal Wavy Channel

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