Spectral quasi linearization simulation on the hydrothermal behavior of hybrid nanofluid spraying on an inclined spinning disk

Common conductive fluids include coolants (water and ethylene glycol [EG]), lubricants (oils), polymer solutions, paraffin, and biofluids. Compared with conventional fluids, the nanofluids have superior thermophysical properties like heat transmission, thermal conductivity, viscosity, and thermal diffusion. Such types of nanofluids have many biomedical, industrial, and engineering applications due to their enhanced properties like vehicle cooling, industrial cooling, heat transfer, electronics cooling, nanocryosurgery, magnetic drugs, etc. Therefore, in this analysis, the authors have investigated the significance of thermal and mass transmission mechanisms of the nanofluids on convective motion that happens through a stretching sheet with velocity slips. The nanofluid flow includes water (H2O) and EG (C2H6O2) which are used as a mixture of base fluid (water, 70%water + 30%EG, 50%water + 50%EG) and graphene nanomaterials (graphene nanoparticle [GP]) are used as nanoparticles. The governing equations are transformed with the help of suitable similarity variables and then solved by the means of homotopy analysis method (HAM). Validation of the present analysis has been performed and has found great agreement with previous results. The effects of physical factors developed during partial differential equation (PDE)‐to‐ordinary differential equation (ODE) transformations on flow profiles have been presented. The results show that the enhancing nanoparticle volume fraction shrinks the velocity boundary layer thickness and reduces the velocity profiles, while the thermal and concentration boundary layer thicknesses enhance, which consequently augment the thermal and concentration profiles. Additionally, the increasing nanoparticle volume fraction improves skin friction, heat transfer, and mass transfer rates. The augmenting thermal and mass relaxation times factors reduce the thermal and concentration profiles. Additionally, the thermal relaxation time factor shows prompt effect for the case of Fourier's law and the concentration relaxation time factor shows prompt effect for Fick's model. It is also found that the variations in the flow profiles are always dominant for the water + GP nanofluid as compared to 70% W + 30%EG + GP and 50% W + 50%EG + GP.

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“…The thermophysical properties are defined as [40, 41]:

\{\begin{matrix} left \frac{{\overset{⌢}{μ}}_{n f}}{{\overset{⌢}{μ}}_{b f}} goodbreak= \frac{1}{{((), 1 - normalΔ)}^{2.5}}, \frac{{\overset{2false ⌢}{ρ}}_{n f}}{{\overset{⌢}{ρ}}_{b f}} goodbreak= ((), 1 - normalΔ) goodbreak+ normalΔ \frac{{\overset{⌢}{ρ}}_{n p}}{{\overset{⌢}{ρ}}_{b f}}, \frac{{((), \overset{⌢}{ρ} {\overset{2false ⌢}{C}}_{\overset{2false ⌢}{p}})}_{n f}}{{((), \overset{⌢}{ρ} {\overset{2false ⌢}{C}}_{\overset{2false ⌢}{p}})}_{b f}} goodbreak= ((), 1 - normalΔ) goodbreak+ normalΔ \frac{{((), \overset{⌢}{ρ} {\overset{2false ⌢}{C}}_{\overset{2false ⌢}{p}})}_{n p}}{{((), \overset{⌢}{ρ} {\overset{2false ⌢}{C}}_{\overset{2false ⌢}{p}})}_{b f}}, \\ left \frac{{\overset{⌢}{k}}_{n f}}{{\overset{⌢}{k}}_{b f}} goodbreak= ((), {\overset{2false ⌢}{k}}_{n p} + 2 {\overset{2false ⌢}{k}}_{b f}) - 2 normalΔ ((), {\overset{2false ⌢}{k}}_{b f} - \overset{2false ⌢}{k}) \end{matrix}\}

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Section: Problem Formulationmentioning

confidence: 99%

Significance of the third‐order slip flow of graphene‐(100% water, 70% water + 30% ethylene glycol, and 50% water + 50% ethylene glycol) nanofluids flow over a stretching surface with a Cattaneo–Christov heat and mass flux model

Dawar

Islam

Shah³

et al. 2022

Z Angew Math Mech

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“…Related kinds of literature are in. [14][15][16][17][18][19][20][21][22][23][24] Nanofluid flow involving a rotating disk extends the field of application in numerous technological issues starting from centrifugal machinery, rotational viscometer, pumping of liquid metal at the inflated melting point, computer disk, turbomachinery, and aerospace engineering, which are some examples of its high-level application. [25][26] Von Karman 27 was the initial contributor to deal with such an incompressible steady flow over the spinning disk using the integral method.…”

Section: Introductionmentioning

confidence: 99%

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

Acharya¹,

Maity

Kundu

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Entropy generation investigation of hybrid nanofluidic transport over an unsteady spinning disk is reported in this analysis. The magnetic influence, velocity slips, and thermal radiative effects are included within the flow. Ferrous oxide (Fe3O4) and graphene oxide (GO) are used as tiny nano ingredients, and water (H2O) is the base medium. The dimensional leading equations are settled to dimensionless nonlinear ordinary differential equations (ODEs) by significant similarity transformations. Then, classical RK-4 scheme with a shooting process has been initiated to execute the numerical simulation. The software MAPLE-18 is used to run the entire simulation with an indispensable accuracy rate. Several streamlines, graphs, and requisite tables are executed to divulge the parametric impact on the nanofluidic stream. Entropy generation–related figures are depicted for diverse parameters, and parametric effects on Bejan number are also analyzed. Moreover, the corresponding physical consignments like the measure of the frictional hindrance, heat transport are calculated and reviewed. The entropy generation augments for higher magnetic value but reduces for velocity slip, radiation, and nanoparticle concentration. Hybrid nanofluid gives a lower magnitude in entropy production as compared to the usual nanofluid. Magnetic parameter reduces the Bejan number, while slip factor and nanoparticle concentration amplify such effects. Heat transfer ultimately seems to increase for nanoparticle volume fraction, and the increase rate is 4.01685 for usual nanofluid, but it is 6.7557 for hybrid nanofluid. Also, the numerical fallouts address the possibility of using magnetized spinning disks in space engines and nuclear propulsion, and such a model conveys significant applications in heat transport improvement in so many industrial thermal management equipment and renewable energy systems.

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“…He explored the flow pattern due to the conjunction of particle concentration affecting the flow properties. Again Acharya 44–51 and Acharya et al 52 developed his study in various direction by considering nanofluids for the interaction of both metal and oxide nanoparticls. However, the complex governing equations associated with the proposed model are handled by both analytically and numerically.…”

Section: Introductionmentioning

confidence: 99%

Impact of radiative and dissipative heat on the Williamson nanofluid flow within a parallel channel due to thermal buoyancy

Pattanaik

Mishra

Jena

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part N:

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The present investigation reveals the non-Newtonian flow characteristics for the Williamson nanofluid through a parallel channel due to the conjunction of thermal buoyancy. As a good conductor of heat, the metal like Copper is treated as the nanoparticles submerged into the base fluids water and kerosene to perform the flow phenomena within the channel embedding with the porous medium. For the involvement of the applied magnetic field and permeability it is not wise to neglect the impact of dissipative heat energy. Therefore, both the Joule and the Darcy dissipations are also considered those are affecting the thermal properties. The model is developed considering the Mintsa model thermophysical properties of conductivity and the Gharesim model viscosity for the enhancement of heat transport properties. In various industrial as well as engineering applications nanofluids are used as a best coolant. The use of suitable similarity variables and stream function helps to transform the governing nonlinear differential equations into nonlinear ordinary. Further, an approximate analytical approach such as Adomian Decomposition Method is used to handle those transformed equations. The current outcomes obtained from the behavior of various flow characteristics are presented via graphs and table to validate the results. The observation shows that with an augmentation in the particle concentration, fluid velocity retards however the retardation in case of water-based nanofluid overrides the case of kerosene-based nanofluid. Further, particle concentration enriches the nanofluid temperature greatly in comparison to pure fluid.

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Spectral quasi linearization simulation on the hydrothermal behavior of hybrid nanofluid spraying on an inclined spinning disk

Cited by 40 publications

References 53 publications

Significance of the third‐order slip flow of graphene‐(100% water, 70% water + 30% ethylene glycol, and 50% water + 50% ethylene glycol) nanofluids flow over a stretching surface with a Cattaneo–Christov heat and mass flux model

Significance of the third‐order slip flow of graphene‐(100% water, 70% water + 30% ethylene glycol, and 50% water + 50% ethylene glycol) nanofluids flow over a stretching surface with a Cattaneo–Christov heat and mass flux model

Entropy generation optimization of unsteady radiative hybrid nanofluid flow over a slippery spinning disk

Impact of radiative and dissipative heat on the Williamson nanofluid flow within a parallel channel due to thermal buoyancy

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