Effects of uncertainties of viscosity models for Al2O3–water nanofluid on mixed convection numerical simulations

Arefmanesh, A.; Mahmoodi, Mostafa

doi:10.1016/j.ijthermalsci.2011.04.007

Cited by 56 publications

(26 citation statements)

References 25 publications

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“…The obtained results by the present code are compared with the results of Arefmanesh et al [1] for ' = 0:03, Ri = 1, and Gr = 10 4 in Figure 4 (similar state with Ref. [1]).…”

Section: Grid Independency and Validation Of The Codesupporting

confidence: 77%

“…The obtained results by the present code are compared with the results of Arefmanesh et al [1] for ' = 0:03, Ri = 1, and Gr = 10 4 in Figure 4 (similar state with Ref. [1]). As shown in Figure 4, very good agreement exists between the present results and those of Arefmanesh et al [1].…”

Section: Grid Independency and Validation Of The Codesupporting

confidence: 77%

“…Therefore, a strong recirculation is formed. It is worth to note that the range of Richardson numbers were studied in similar work is as follows: Arefmanesh and Mahmoodi [1] from 0.1 to 100, AbuNada and Chamkha [5] from 0.001 to 100, Abu-Nada and Chamkha [35] from 0.0001 to 100, Cho et al [40] from 0.01 to 1000, and Ghasemi and Aminossadati [12] from 0.01 to 100.…”

Section: Resultsmentioning

confidence: 90%

“…[1]). As shown in Figure 4, very good agreement exists between the present results and those of Arefmanesh et al [1].…”

Section: Grid Independency and Validation Of The Codementioning

confidence: 99%

“…In engineering and industrial applications such as cooling of electronic equipment, oat glass manufacturing, chemical processing equipment, lubrication technologies, and food processing, mixed convection uid ow and heat transfer are encountered [1][2][3]. Enhancing the heat transfer rate is one of the essential needs in the above-mentioned applications.…”

Section: Introductionmentioning

confidence: 99%

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Effects of uncertainties of conductivity models on mixed convection for Al2O3-water nano fluid

Abbasian

Yazdeli

2016

Scientia Iranica

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Abstract. The present numerical study aims to investigate the e ects of uncertainties of di erent conductivity models on mixed convection uid ow and heat transfer in a square cavity lled with Al2O3-water nano uid. The left and right vertical sides of enclosure are maintained at high and low constant temperatures, respectively, while the bottom and top horizontal sides of the enclosure are kept insulated. Furthermore, the right wall moves from down to up with a constant velocity, Vp. To approximate the nano uid e ective thermal conductivity, ve most commonly used models, namely, Maxwell, Khanafer and Vafai, Corcione, Chon et al., and Patel et al., are employed. Finite volume method and SIMPLER algorithm are used in order to discretize the governing equations. Simulations are performed for nanoparticles volume fraction ranging from 0 to 0.05 and Richardson number ranging between 0.01 and 100. The results indicate that there are signi cant di erences between the average Nusselt numbers predicted by the ve employed conductivity models.

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“…The obtained results by the present code are compared with the results of Arefmanesh et al [1] for ' = 0:03, Ri = 1, and Gr = 10 4 in Figure 4 (similar state with Ref. [1]).…”

Section: Grid Independency and Validation Of The Codesupporting

confidence: 77%

Section: Grid Independency and Validation Of The Codesupporting

confidence: 77%

Section: Resultsmentioning

confidence: 90%

“…[1]). As shown in Figure 4, very good agreement exists between the present results and those of Arefmanesh et al [1].…”

Section: Grid Independency and Validation Of The Codementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Effects of uncertainties of conductivity models on mixed convection for Al2O3-water nano fluid

Abbasian

Yazdeli

2016

Scientia Iranica

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Numerical investigation of non‐Newtonian nanofluid mixed convection in a two‐opposite direction lid‐driven cavity with variable properties

Nazari

Akbari

2018

Heat Trans. Asian Res.

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The mixed convection fluid flow in a square cavity filled with AL2O3‐water non‐Newtonian nanofluid is numerically analyzed. The left and right vertical boundaries of the enclosure have been kept in the constant temperature. Remaining walls of the cavity have been considered to have adiabatic boundary condition. Two different cases have been considered. In the first case, left and right side walls have been moved vertically with constant speed Vb in opposite directions. In the second case, the directions of their motions have been reversed. The transport equations, written in terms of the primitive variables for the non‐Newtonian nanofluid, have been solved numerically using the finite volume method. The shear stresses were calculated using the Ostwald‐de Waele model for the shear‐thinning nanofluid. The model introduced by Patel et al was used to obtain the thermal conductivity of the nanofluid. The variation of the fluid flow with respect to the Richardson number and volume fraction of the nanoparticles was investigated through a parametric study. Even though increasing the volume fraction of nanoparticles leads to heat transfer enhancement, for the second case of this study, for Ri = 1, the average Nusselt number initially drops sharply by increasing the volume fraction of nanoparticles, then remains constant.

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Numerical study of natural convection characteristics of nanofluids in an enclosure using multiphase model

2016

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Effects of uncertainties of viscosity models for Al2O3–water nanofluid on mixed convection numerical simulations

Cited by 56 publications

References 25 publications

Effects of uncertainties of conductivity models on mixed convection for Al2O3-water nano fluid

Effects of uncertainties of conductivity models on mixed convection for Al2O3-water nano fluid

Numerical investigation of non‐Newtonian nanofluid mixed convection in a two‐opposite direction lid‐driven cavity with variable properties

Numerical study of natural convection characteristics of nanofluids in an enclosure using multiphase model

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