Cattaneo–Christov heat flux model for heat transfer of Marangoni boundary layer flow in a copper–water nanofluid

Xu, Xiaotong; Chen, Shumei

doi:10.1002/htj.21273

Cited by 47 publications

(24 citation statements)

References 57 publications

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“…The shape factor is represented here as m. The shape factor for diverse particle shapes is illustrated in Table 1 [32]. Further, the thermophysical features of the nanofluid are listed in Table 2 [15].…”

Section: Problem Descriptionmentioning

confidence: 99%

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Magnetohydrodynamic Nanofluid Natural Convection in a Cavity under Thermal Radiation and Shape Factor of Nanoparticles Impacts: A Numerical Study Using CVFEM

2018

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In this study, the natural convection of a magnetohydrodynamic nanofluid in an enclosure under the effects of thermal radiation and the shape factor of nanoparticles was analyzed numerically using the control-volume-based finite element method (CVFEM). Columns, spheres, and lamina are examples of the nanoparticle shapes used in the investigation. The study of nanofluid flow and heat transfer was accomplished with an extensive range of nanofluid volume fractions, radiation parameters, Hartmann numbers, Rayleigh numbers, and nanoparticle shape factors. Also, the correlation between the average Nusselt number and the influencing parameters of the current study was determined. The findings demonstrate that laminar nanoparticles have a more notable impact on the average and local Nusselt numbers than the other nanoparticle shapes.

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Section: Problem Descriptionmentioning

confidence: 99%

“…Shape factor values for various nanoparticle shapes[32]. Thermophysical properties of water and nanoparticle[15].…”

mentioning

confidence: 99%

Magnetohydrodynamic Nanofluid Natural Convection in a Cavity under Thermal Radiation and Shape Factor of Nanoparticles Impacts: A Numerical Study Using CVFEM

2018

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“…Sastry [12] examined the impact of magnetohydrodynamic (MHD) Marangoni convective flow in a nanoliquid along the stretching surface and also considered the radiation and first-order chemical reaction phenomena. Characteristics of the Cattaneo-Christov heat flux model of Marangoni flow in a copper-water nanoliquid were studied by Xu and Chen [13]. Chen et al [14] analysed the impact of solid matrix in Marangoni flow of power law nanoliquid in a porous medium.…”

Section: Introductionmentioning

confidence: 99%

Thermosoluted Marangoni convective flow towards a permeable Riga surface

et al. 2020

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This study reveals the characteristics of chemical reaction on Marangoni mixed convective stream towards a penetrable Riga surface. The heat and mass phenomena are analysed within the sight of Dufour and Soret impacts. The administering partial differential equations system is converted into three nonlinear ordinary differential equations utilizing appropriately adjusted transformations. The resultant system of highly nonlinear equations is analytically solved by invoking the homotopy analysis method. Thereafter, the convergence of series solutions is discussed. The impact of appropriate parameters on various flow fields is thoroughly explained with the help of graphs and tables. The wall drag coefficient and relevant flux rates are arranged and discussed for dimensionless parameters. The outcomes show that the stronger Dufour effect of liquid causes a notable incremental variation in heat and mass flux, whereas an opposite trend is noted in the heat flux rate for the Soret effect. However, the mass flux is still found increasing for the stronger Soret effect.

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“…Nanofluids have demonstrated better thermal characteristics; thus they are suitable for electronic cooling systems, car/tractor radiator, heat exchanger liquids, solar systems, and nuclear reactors. Several cases related to the heat transfer of nanofluids have been presented …”

Section: Introductionmentioning

confidence: 99%

“…Several cases related to the heat transfer of nanofluids have been presented. [18][19][20][21][22][23][24][25][26][27][28] According to the previous studies about the natural convection flow inside enclosures, investigating the effect of deviation angle of enclosure on flow field, heat transfer, and entropy generation of turbulent natural convection in a tall enclosure has not been noticed recently. Consequently, this study investigates this issue by using the computational fluid dynamicsartificial neural network (CFD-ANN) hybrid method.…”

mentioning

confidence: 99%

Study of flow field, heat transfer, and entropy generation of nanofluid turbulent natural convection in an enclosure utilizing the computational fluid dynamics‐artificial neural network hybrid method

Sepehrnia

Sheikhzadeh

Abaei

et al. 2019

Heat Trans. Asian Res.

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In this study, the turbulent natural convection of Ag‐water nanofluid in a tall, inclined enclosure has been investigated. The main objective of this study is finding the optimized angle of the enclosure with operational boundary condition in cooling from ceiling utilizing the computational fluid dynamics‐artificial neural network (CFD‐ANN) hybrid method, which has not been noticed in previous studies. To achieve this, we proposed two approaches. First, the simulations have been done with a deviation angle of 0 to 90° by using water and Ag‐water nanofluid. And second, a new prediction approach is proposed based on radial basis function artificial neural networks (RBF‐ANN) to predict the mean Nusselt number and entropy generation with the variation of Rayleigh numbers, deviation angles, and volume fractions as inputs. The results from the first approach indicate that the Rayleigh number has a considerable function in the determination of optimized angle. The results from the second approach, which used the first approach simulation results as training data set, could predict the mean Nusselt number and entropy generation with 1.4577e−022 and 1.552e−015 mean square error, respectively. Moreover, a new set of data for Rayleigh numbers, deviation angles, and volume fractions were used to test the performance of the prediction model, which shows promising and superior prospects for RBF‐ANN.

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Cattaneo–Christov heat flux model for heat transfer of Marangoni boundary layer flow in a copper–water nanofluid

Cited by 47 publications

References 57 publications

Magnetohydrodynamic Nanofluid Natural Convection in a Cavity under Thermal Radiation and Shape Factor of Nanoparticles Impacts: A Numerical Study Using CVFEM

Magnetohydrodynamic Nanofluid Natural Convection in a Cavity under Thermal Radiation and Shape Factor of Nanoparticles Impacts: A Numerical Study Using CVFEM

Thermosoluted Marangoni convective flow towards a permeable Riga surface

Study of flow field, heat transfer, and entropy generation of nanofluid turbulent natural convection in an enclosure utilizing the computational fluid dynamics‐artificial neural network hybrid method

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