Analytical Solution of Electrical Conducting Water-Based (KKL Model) Nanofluid Flow Over a Linearly Stretching Sheet

Mishra, S. R.; Rout, B. C.

doi:10.1007/s40995-018-0596-7

Cited by 7 publications

(2 citation statements)

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“…Authors reported that as the nanoparticle concentration near the surface reduces whenever heat source upsurges, then, consequently, thermal boundary‐level also relatively increased. The impact of thermal radiation and heat generation reactive stagnation stream of nanofluid over a shrinking surface using RK method with shooting procedure deliberated by Wahiduzzaman et al The effect of internal heat generation/absorption and viscous dissipation on MHD flow over a stretching surface is described in Rudraswamy et al Recent investigations regarding the heat transfer enrichment process by nanofluid can be discovered in Sheikholeslami et al However, recently, Mishra et al have established some new results on the heat transfer phenomena of various nanofluids in different geometries where they have used both analytical and numerical techniques, viz, KBM and FEM, to solve the transformed system of equations. Wang discussed the squeezing of a fluid between two plates.…”

Section: Introductionmentioning

confidence: 99%

Effect of viscous dissipation on Cu‐water and Cu‐kerosene nanofluids of axisymmetric radiative squeezing flow

Rout

Mishra

Thumma³

2019

Heat Trans. Asian Res.

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This paper analyzes the axisymmetric squeezing current phenomena of Cu‐water and Cu‐kerosene for two dimensional nanofluid between two parallel plates. The effects of thermal radiation with velocity slip are also enhancing the subject as well. The similarity approach has been adopted to obtain the ordinary differential equations from partial differential equations. The solution of these complex coupled nonlinear equations is obtained analytically using the variation parameter method. For the corroboration of the current result, we have matched with prior results in particular cases and concluded that both the results coincide with each other. Computations are obtained for velocity and temperature profiles for different pertinent parameters along with skin friction and Nusselt number and presented via graphs and tables.

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Section: Introductionmentioning

confidence: 99%

Effect of viscous dissipation on Cu‐water and Cu‐kerosene nanofluids of axisymmetric radiative squeezing flow

Rout

Mishra

Thumma³

2019

Heat Trans. Asian Res.

Self Cite

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“…There are many applications such as engine cooling, refrigeration, solar water heating, microprocessors, laser applications, super conducting magnets and optoelectronics. The multiple industrial applications and the unique properties of nanofluids are the main reasons that researchers study them extensively in many fields of science [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Modeling electrical properties of nanofluids using artificial neural network

Mohamed

2019

Phys. Scr.

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This paper presents a theoretical study of the electrical properties of two different samples of nanofluids (MgO and Si–TiO2 nanoparticles in ethylene glycol EG as the base fluid) using an artificial neural network (ANN) model. Experimental data were extracted from previous experimental studies and used as inputs. A learning ANN method was applied based on the back propagation technique. The optimal network structure, which produces the most acceptable performance, was attained. Electrical conductivity and permittivity in terms of nanoparticle concentration, temperature and frequency were simulated and predicted using the ANN model. A new nonlinear equation describing the behavior of electrical properties of nanofluids was obtained. The simulation results of the ANN model are highly accurate in comparison with experimental data. Predictions of values that are not involved in the experimental data range were carried out and provide excellent results. The mean squared error and regression coefficient were also determined. Their values support the success of the ANN model. The main purpose of the paper is to show the ability and power of an ANN model in estimating and predicting electrical properties of nanofluids. According to this research, the ANN model can be utilized as an efficient tool to predict the electrical properties of nanofluids. It can also achieve great links between practical and theoretical branches.

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Dissipative heat energy on Cu and Al2O3 ethylene–glycol-based nanofluid flow over a heated semi-infinite vertical plate

Mishra

Pattnaik²,

Mishra

et al. 2020

J Therm Anal Calorim

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Analytical Solution of Electrical Conducting Water-Based (KKL Model) Nanofluid Flow Over a Linearly Stretching Sheet

Cited by 7 publications

References 50 publications

Effect of viscous dissipation on Cu‐water and Cu‐kerosene nanofluids of axisymmetric radiative squeezing flow

Effect of viscous dissipation on Cu‐water and Cu‐kerosene nanofluids of axisymmetric radiative squeezing flow

Modeling electrical properties of nanofluids using artificial neural network

Dissipative heat energy on Cu and Al2O3 ethylene–glycol-based nanofluid flow over a heated semi-infinite vertical plate

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