2013
DOI: 10.1016/j.ijmecsci.2013.03.007
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Thermophoresis and Brownian motion effects on MHD boundary-layer flow of a nanofluid in the presence of thermal stratification due to solar radiation

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Cited by 61 publications
(25 citation statements)
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“…By comparing the diffusion time scale of transport mechanisms, he showed that the Brownian motion and thermophoresis are the two most important mechanisms. Actually, there are many recent paper as [39][40][41][42][43][44][45], which deal with this model and incorporated the effects of the Brownian motion and thermophoresis in the energy and concentration equation under the Boundary layer theorem. Moreover there are a few paper which deals with this model in cavities; Sheikholeslami et al [46] the problem of magnetohydrodynamic free convection of Al 2 O 3 -water nanofluid considering Thermophoresis and Brownian motion effects in a circular cavity using control volume based finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…By comparing the diffusion time scale of transport mechanisms, he showed that the Brownian motion and thermophoresis are the two most important mechanisms. Actually, there are many recent paper as [39][40][41][42][43][44][45], which deal with this model and incorporated the effects of the Brownian motion and thermophoresis in the energy and concentration equation under the Boundary layer theorem. Moreover there are a few paper which deals with this model in cavities; Sheikholeslami et al [46] the problem of magnetohydrodynamic free convection of Al 2 O 3 -water nanofluid considering Thermophoresis and Brownian motion effects in a circular cavity using control volume based finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…Numerical investigations of the boundary-value problem (5)- (7), (9) 16 The effect of the porosity and nanofluid/solid-matrix interface heat transfer parameter on the average Nusselt numbers in fluid and solid phases is presented in Fig. 9.…”
Section: Resultsmentioning
confidence: 99%
“…The RKF45 algorithm in MAPLE has been well tested for its accuracy and robustness are shown by Aziz. 26 Table I shows the comparison of 0 with those of the previous studies 6 16 for various values of N t . A comparison is also made with reduced Nusselt 6 Wang, 27 Gorla and Sidawi 28 and Kandaswamy et al 9 are presented in Table II.…”
Section: Numerical Solutionmentioning
confidence: 99%