Statistical Modeling for Nanofluid Flow: A Stretching Sheet with Thermophysical Property Data

Jedi, Alias; Shamsudeen, Azhari; Razali, Noorhelyna; Othman, Hidayatulfathi; Zainuri, Nuryazmin Ahmat; Zulkarnain, Noraishikin; Bakar, Nor Ashikin Abu; Pati, Kafi Dano; Thanoon, Thanoon Y.

doi:10.3390/colloids4010003

Cited by 16 publications

(7 citation statements)

References 27 publications

(36 reference statements)

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“…In addition, for all other values of β � 0, 0.2, and 0.4, it is found that the SWCNTs are more efficient, as compared with MWCNTs, with regard to the skin friction coefficient and the Nusselt number. Moreover, these results verified that the skin friction data fit the Weibull distribution, which are found to be in good agreement with results of the previous study [33]. e slip and thermal radiation are also modelled based on the flow and heat enhancement of CNTs.…”

Section: Discussionsupporting

confidence: 90%

A Weibull Distribution: Flow and Heat Transfer of Nanofluids Containing Carbon Nanotubes with Radiation and Velocity Slip Effects

Asshaari

Jedi

Pati

2020

Mathematical Problems in Engineering

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In this study, the Tiwari and Das model is numerically studied, in case of a moving plate containing both single-walled and multiwalled carbon nanotubes (SWCNTs and MWCNTs, respectively), in the presence of thermal radiation and the slip effect. Employing the similarity transformation, a set of 2nd-order partial differential equations (which are used to model the flow and heat transfer) are solved numerically using the boundary value problem with 4th-order accuracy (BVP4C) method. The effects of related parameters, such as the volume fraction of nanoparticles, moving, slip, and radiation parameter on the heat transfer performance are analysed and discussed. Results indicate that a unique solution was placed when the plate travels in assisting flow conditions. Additionally, as the nanoparticle volume fraction (φ) rises at φ = 0.2, the skin friction and heat transfer rate decrease. It is also observed that when the slip parameter (β) increases at β = 0.4, the skin friction decreases, whereas the heat transfer rate increases. Meanwhile, the heat transfer rate decreases when the thermal radiation (NR) increases to 0.7. Moreover, it is found that the SWCNTs are more efficient when the skin friction coefficient and the Nusselt number are considered. It is found that the Weibull distribution is more suitable in fitting the skin friction data.

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Section: Discussionsupporting

confidence: 90%

A Weibull Distribution: Flow and Heat Transfer of Nanofluids Containing Carbon Nanotubes with Radiation and Velocity Slip Effects

Asshaari

Jedi

Pati

2020

Mathematical Problems in Engineering

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“…Numerous industrial and medicinal processes, including medication administration, antibacterial activity, friction reduction, and solar energy absorption, significantly benefit from the movement of nanofluids. Jedi et al 3 have thought of nanofluid flow over the stretched sheet using the shot method (used copper nanomaterials in base liquid). Using the symbolic programming language MATHEMATICA, Das et al 4 addressed the nanofluid flow through the nonlinear permeable stretching sheet.…”

Section: Introductionmentioning

confidence: 99%

Fractional order simulation for unsteady MHD nanofluid flow in porous medium with Soret and heat generation effects

Patel

Mittal²,

Nagar

2022

Heat Trans

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In this paper, unsteady magnetohydrodynamics nanofluid flow with thermo‐diffusion and heat generation effects is studied. The fluid flow at the plate is considered exponentially accelerated through a porous medium. The governing system of equations is made dimensionless with the help of similarity transformation. A Caputo–Fabrizio fractional‐order derivative is employed to generalize the momentum, energy, and concentration equations, and the exact expression is obtained using Laplace transformation techniques. To realize the physics of the problem, numerical results of velocity, temperature, and concentration profiles are obtained and presented through graphs. Also, the numerical values of the Nusselt number and Sherwood number are obtained and compared which strongly agree with the previous studies. From the results, it is concluded that velocity distribution decline by improving the value of the chemical reaction and magnetic field while the reverse trend is observed for volume fraction and micropolar parameter. It is also seen that the heat transfer process improves with heat generation and thermal radiation whereas, mass transfer declines with the chemical reaction parameter.

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“…Sabir et al 35 investigated the solution of singular three‐point second‐order boundary value problems by utilizing novel meta‐heuristic computing solver. The numerical or experimental results with ANN modeling in nanofluids has been examined by the researchers in recent articles 36–40 …”

Section: Introductionmentioning

confidence: 99%

Critical points and stability analysis in MHD radiative non‐Newtonian nanoliquid transport phenomena with artificial neural network prediction

Rana

Bhardwaj

Makkar

et al. 2022

Math Methods in App Sciences

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In the present framework, flow and thermal transport behavior of non-Newtonian viscoelastic fluid induced by stretching/shrinking of the horizontal sheet under the influence of Lorentz force, volumetric heat source/sink, and radiation (assuming optically thick medium) has been investigated. Multiple solutions (Branches) have been predicted numerically using Lie symmetry transformation and Runge Kutta Dormand Prince (RKDP) algorithm-based Shooting method for the different controlling parameters, stretching/shrinking (𝛾 c < −1 < 𝛾 < ∞), and suction (𝛼 c < 𝛼 < ∞) with substantial impact with UCM parameter, 𝛽 > 0. Some of the results have also been compared with MATLAB built-in solvers to validate our in-house code. The deviations in critical (turning) points (𝛽 c , 𝛾 c ) have been noticed for different values of M and 𝛼. The temporal stability analysis is performed for these parameters (𝛽, 𝛾), and the upper (lower) branch is only physically feasible (infeasible). The combined effect on Nusselt number and skin-friction coefficient is also depicted in the form of contour plots. The outcomes from artificial neural network (ANN) using Levenberg-Marquardt algorithm give a preferred estimate for current numerical simulation. In ANN prediction, the optimal number of neurons in the hidden layer is used, having minimum value of RMSE and RMRE with maximum R 2 for different cases of non Newtonian stretching/shrinking sheet. Finally, the results conclude that the applied ANN model can accurately predict the output results.

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Statistical Modeling for Nanofluid Flow: A Stretching Sheet with Thermophysical Property Data

Cited by 16 publications

References 27 publications

A Weibull Distribution: Flow and Heat Transfer of Nanofluids Containing Carbon Nanotubes with Radiation and Velocity Slip Effects

A Weibull Distribution: Flow and Heat Transfer of Nanofluids Containing Carbon Nanotubes with Radiation and Velocity Slip Effects

Fractional order simulation for unsteady MHD nanofluid flow in porous medium with Soret and heat generation effects

Critical points and stability analysis in MHD radiative non‐Newtonian nanoliquid transport phenomena with artificial neural network prediction

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