Numerical simulation of natural convection of the nanofluid in heat exchangers using a Buongiorno model

Garoosi, Faroogh; Jahanshaloo, Leila; Rashidi, Majid; Badakhsh, Arash; Ali, Mohamed

doi:10.1016/j.amc.2014.12.116

Cited by 120 publications

(44 citation statements)

References 31 publications

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“…Extensive theoretical and experimental researches have been made to measure the enhancement properties of nanofluid and various mechanisms have been proposed for better heat transfer processes. There is vast amount of literature available on the flows of nanofluid now [1][2][3][4][5][6][7][8][9][10][11][12]. It is assumed that the enhancement properties of the nanofluids is caused by thermal dispersion and intensified turbulence brought about by nanoparticle motion.…”

Section: Introductionmentioning

confidence: 99%

Active and passive controls of the Williamson stagnation nanofluid flow over a stretching/shrinking surface

Halim

Sivasankaran

Noor

2016

Neural Comput & Applic

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A steady stagnation point flow of an incompressible Williamson nanofluid towards a horizontal linearly stretching/shrinking sheet with active and passive controls on the wall mass flux is numerically studied. The governing partial differential equations are reduced into a system of ordinary differential equations using a similarity transformation and are solved using the bvp4c package in MATLAB. The velocity, temperature and nanoparticle volume fraction profiles together with the reduced skin friction coefficient, reduced Nusselt number and reduced Sherwood number are graphically presented to visualize the effects of parameters involved in the study. Results show that temperature and nanoparticle volume fraction are decreasing functions of the stagnation parameter, r. It is also found that the diffusivity ratio N bt and Lewis number Le have almost negligible effects on heat transfer rate in passive control. Increasing value of Williamson parameter k will increase the skin friction in both stretching and shrinking surfaces.

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Section: Introductionmentioning

confidence: 99%

Active and passive controls of the Williamson stagnation nanofluid flow over a stretching/shrinking surface

Halim

Sivasankaran

Noor

2016

Neural Comput & Applic

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“…The broad range of current and future applications involving nanofluids has been given in the publications (Das et al 2007;Wang and Mujumdar 2008a, b;Sheremet et al 2015;Sheremet and Pop 2014;Zaimi et al 2014). Many recent studies on boundary-layer flow in nanofluids have been undertaken with the absence of slip effects (Khan and Pop 2010;Kuznetsov and Nield 2010;Gorder et al 2010;Akyildiz et al 2011;Hamad 2011;Rashidi and Erfani 2011;Vajravelu et al 2011;Rashidi, Freidoonimehr et al 2013;Govindaraju et al 2014;Ganga et al 2014;Rashidi,·Freidooni-mehr, N, Hosseini, A et al 2013;Sheikholeslami and Ganji 2014;Hatami et al 2014;Rashidi, Vishnu Ganesh et al 2014;Rashidi, Momoniat et al 2014;Garoosi et al 2015;Freidoonimehr and Rashidi 2015). Das (2012) obtained a numerical solution for convective heat transfer performance of nanofluids over a permeable stretching surface in the presence of a partial slip, thermal buoyancy and temperature-dependent internal heat generation or absorption.…”

Section: Introductionmentioning

confidence: 99%

Analytical and numerical studies on heat transfer of a nanofluid over a stretching/shrinking sheet with second-order slip flow model

Rashidi

Hakeem

Ganesh

et al. 2016

Int J Mech Mater Eng

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Background: The objective of the present study is to analyse the steady second-order slip flow and heat transfer of an incompressible viscous water-based nanofluid over a stretching/shrinking sheet both analytically and numerically. Methods: Using the scaling group transformations, a system of partial differential equations governing the flow and thermal fields is transformed into a system of ordinary differential equations. An exact solution to the momentum equation is obtained, and the solution of the energy equation is obtained in terms of a hypergeometric function for different water-based nanofluids containing Au, Ag, Cu, Al, Al

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“…Therefore, the main goal of this study is reducing entropy generation losses by varying applied magnetic field. Some new investigations about analytical and numerical simulations of nanofluids can be found in [20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Effect of Magnetic Field on Entropy Generation in a Microchannel Heat Sink with Offset Fan Shaped

Nasiri

Rashidi

Lorenzini

2015

Entropy

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Abstract:In this study, convection flow in microchannel heat sink with offset fan-shaped reentrant cavities in sidewall filled with Fe 3 O 4 -water is numerically investigated. The effects of changing some parameters such as Reynolds number and magnetic field are considered. The nanofluid flow is laminar, steady and incompressible, while the thermo-physical properties of nanoparticles were assumed constant. A finite volume method and two phase mixture models were used to simulate the flow. The obtained results show that the frictional entropy generation increases as Reynolds number increases, while a reverse trend is observed for thermal entropy generation. By applying a non-uniform magnetic field, the entropy generation due to heat transfer decreases at first and then increases. When using the uniform magnetic field, the frictional entropy generation and thermal entropy generation is negligible. For all studied cases, the total entropy generation decreases using non-uniform magnetic fields. The results indicate that by increasing the magnetic field power, the total entropy generation decreases.

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Numerical simulation of natural convection of the nanofluid in heat exchangers using a Buongiorno model

Cited by 120 publications

References 31 publications

Active and passive controls of the Williamson stagnation nanofluid flow over a stretching/shrinking surface

Active and passive controls of the Williamson stagnation nanofluid flow over a stretching/shrinking surface

Analytical and numerical studies on heat transfer of a nanofluid over a stretching/shrinking sheet with second-order slip flow model

Effect of Magnetic Field on Entropy Generation in a Microchannel Heat Sink with Offset Fan Shaped

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