Thermal Enhancement of Radiating Magneto-Nanoliquid with Nanoparticles Aggregation and Joule Heating: A Three-Dimensional Flow

Swain, Kharabela; Mahanthesh, B.

doi:10.1007/s13369-020-04979-5

Cited by 45 publications

(10 citation statements)

References 28 publications

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“…By addressing the shape and NP aggregation, Motlagh and Kalteh [ 13 ] investigated heat transfer in a nanochannel. The leverage of Joule heating and NP aggregation on the nanofluid flow was studied by Swain and Mahanthesh [ 14 ]. Sabu et al [ 15 ] studied the kinetics of nanoparticle aggregation in a convective nanomaterial flow travelling across an inclined flat plate.…”

Section: Introductionmentioning

confidence: 99%

Aspects of Uniform Horizontal Magnetic Field and Nanoparticle Aggregation in the Flow of Nanofluid with Melting Heat Transfer

et al. 2022

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The current exploration focuses on the impact of homogeneous and heterogeneous chemical reactions on titanium dioxide-ethylene glycol (EG)-based nanoliquid flow over a rotating disk with thermal radiation. In this paper, a horizontal uniform magnetic field is used to regularise the flow field produced by a rotating disk. Further, we conduct a comparative study on fluid flow with and without aggregation. Suitable transformations are used to convert the governing partial differential equations (PDEs) into ordinary differential equations (ODEs). Later, the attained system is solved numerically by means of the shooting method in conjunction with the Runge–Kutta–Fehlberg fourth-fifth-order method (RKF-45). The outcome reveals that the fluid flow without nanoparticle aggregation shows enhanced heat transport than for augmented values of melting parameter. Furthermore, for augmented values of strength of homogeneous and heterogeneous reaction parameters, the mass transfer is greater in fluid flow with aggregation conditions.

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Section: Introductionmentioning

confidence: 99%

Aspects of Uniform Horizontal Magnetic Field and Nanoparticle Aggregation in the Flow of Nanofluid with Melting Heat Transfer

et al. 2022

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“…A specific heat capacity of a material is the most noticeable characteristic for an evaluation of thermal conductivity of a material. 10–14 Unfortunately, Literature has limited experimental evaluations, been carried out, to determine specific heat capacity of so much material existed. Moreover, pure liquids like oil, water, and ethylene glycol mixture are poor heat transfer mediums in engineering and technical systems, due to their poor thermal conductivity.…”

Section: Introductionmentioning

confidence: 99%

Parametric analysis of the heat transfer behavior of the nano-particle ionic-liquid flow between concentric cylinders

Shah

Ullah

Khan

et al. 2021

Advances in Mechanical Engineering

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This paper investigates the enhanced viscous behavior and heat transfer phenomenon of an unsteady two di-mensional, incompressible ionic-nano-liquid squeezing flow between two infinite parallel concentric cylinders. To analyze heat transfer ability, three different type nanoparticles such as Copper, Aluminum [Formula: see text], and Titanium oxide [Formula: see text] of volume fraction ranging from 0.1 to 0.7 nm, are added to the ionic liquid in turns. The Brinkman model of viscosity and Maxwell-Garnets model of thermal conductivity for nano particles are adopted. Further, Heat source [Formula: see text], is applied between the concentric cylinders. The physical phenomenon is transformed into a system of partial differential equations by modified Navier-Stokes equation, Poisson equation, Nernst-Plank equation, and energy equation. The system of nonlinear partial differential equations, is converted to a system of coupled ordinary differential equations by opting suitable transformations. Solution of the system of coupled ordinary differential equations is carried out by parametric continuation (PC) and BVP4c matlab based numerical methods. Effects of squeeze number ( S), volume fraction [Formula: see text], Prandtle number (Pr), Schmidt number [Formula: see text], and heat source [Formula: see text] on nano-ionicliquid flow, ions concentration distribution, heat transfer rate and other physical quantities of interest are tabulated, graphed, and discussed. It is found that [Formula: see text] and Cu as nanosolid, show almost the same enhancement in heat transfer rate for Pr = 0.2, 0.4, 0.6.

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“…Siddiqui et al 17 analyzed the entropy generation model for non‐Newtonian MHD nanofluid flow by following the HAM technique. Swain and Mahanthesh 18 presented the three‐dimensional (3D) flow of titanium nanoliquids over the exponential surface by employing the Maxwell Bruggeman model for the estimation of nanoliquids' conductivity. Recently, Vinita et al 19 investigated the double‐diffusive effect of nanofluid flow in MHD Casson fluid flow by adopting the Runge‐Kutta Fehlberg (RKF) technique.…”

Section: Introductionmentioning

confidence: 99%

A mathematical simulation of unsteady MHD Casson nanofluid flow subject to the influence of chemical reaction over a stretching surface: Buongiorno's model

2021

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In this study, unsteady boundary layer flow with Casson nanofluid within the sight of chemical reaction toward a stretching sheet has been analyzed mathematically. The fundamental motivation behind the present examination is to research the influence of different fluid parameters, in particular, Casson fluid β0.25em ( 0.2 ≤ β ≤ 0.4 ), thermophoresis N t0.25em ( 0.5 ≤ N t ≤ 1.5 ), magnetohydrodynamic M0.25em ( 3.0 ≤ M ≤ 5.0 ), Brownian movement N b0.25em ( 0.5 ≤ N b ≤ 2.0 ), Prandtl numberty, unsteadiness parameter A0.25em ( 0.10 ≤ A ≤ 0.25 ), chemical reaction parameter γ0.25em ( 0.1 ≤ γ ≤ 0.8 ), and Schmidt number S c0.25em ( 1.0 ≤ S c ≤ 3.0 ) on nanoparticle concentration, temperature, and velocity distribution. The shooting procedure has been adopted to solve transformed equations with the assistance of Runge–Kutta Fehlberg technique. The impact of different controlling fluid parameters on flow, heat, and mass transportation are depicted in tabular form and are shown graphically. Additionally, values of skin friction coefficient, Nusselt number, and Sherwood number are depicted via tables. Present consequences of the investigation for Nusselt number are related with existing results in writing by taking N b infixafter= 0 and N t infixafter= 0 where results are finding by utilization of MATLAB programming. Findings of current research help in controlling the rate of heat and mass aspects to make the desired quality of final product aiding manufacturing companies and industrial areas.

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Thermal Enhancement of Radiating Magneto-Nanoliquid with Nanoparticles Aggregation and Joule Heating: A Three-Dimensional Flow

Cited by 45 publications

References 28 publications

Aspects of Uniform Horizontal Magnetic Field and Nanoparticle Aggregation in the Flow of Nanofluid with Melting Heat Transfer

Aspects of Uniform Horizontal Magnetic Field and Nanoparticle Aggregation in the Flow of Nanofluid with Melting Heat Transfer

Parametric analysis of the heat transfer behavior of the nano-particle ionic-liquid flow between concentric cylinders

A mathematical simulation of unsteady MHD Casson nanofluid flow subject to the influence of chemical reaction over a stretching surface: Buongiorno's model

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