Impact of magnetic dipole on thermophoretic particle deposition in the flow of Maxwell fluid over a stretching sheet

Kumar, R. Naveen; Jyothi, A. M.; Alhumade, Hesham; Gowda, R. J. Punith; Alam, Mohammad Mahtab; Ahmad, Irfan; Gorji, Mohammad Rahimi; Prasannakumara, B. C.

doi:10.1016/j.molliq.2021.116494

Cited by 92 publications

(19 citation statements)

References 26 publications

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“…Furthermore, u x cx ( ) = w is the velocity of the stretching sheet, where c is a positive constant. The modeling equations which represent the flow behavior of the fluid by employing the above assumptions are written as follows 22,[53][54][55] :…”

Section: Flow Analysis Of the Problemmentioning

confidence: 99%

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Active and passive control of nanoparticles in ferromagnetic Jeffrey fluid flow

Lalitha

Veeranna²,

Sreenivasa

et al. 2021

Heat Trans

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The rheology of non-Newtonian liquids has fascinated several researchers due to their wide-ranging applications in manufacturing and engineering sectors like plastic processing, the mining industry, and lubrication. Also, the features of ferromagnetic non-Newtonian fluids make it supportive for extensive usage in loudspeakers, magnetic resonance imaging, computer hard drives, directing of magnetic drugs, and magnetic hyperthermia. Owing to such potential applications, the current study is concerned with the heat and mass transfer analysis in a ferromagnetic Jeffrey liquid flow over a stretching sheet. In the flow problem, Brownian moment, magnetic dipole, and thermophoresis features are used. The active and passive

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Section: Flow Analysis Of the Problemmentioning

confidence: 99%

“…where, α 1 is dimensionless distance. and the corresponding vertical and horizontal components of the magnetic field H are given by 30,[53][54][55]…”

Section: Flow Analysis Of the Problemmentioning

confidence: 99%

Active and passive control of nanoparticles in ferromagnetic Jeffrey fluid flow

Lalitha

Veeranna²,

Sreenivasa

et al. 2021

Heat Trans

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“…Furthermore, u x cx ( ) = w be the velocity of the stretching sheet with the free stream velocity distribution is assumed to be in the form U bx = e . The modeling equations that represent the flow behavior of the fluid by employing the above assumptions are as follows 1,18,42,43 :…”

Section: Flow Analysis Of the Problemmentioning

confidence: 99%

“…The magnetic field influences the stream of the ferro nanofluid owing to the MD, whose magnetic scalar potential Ω is given by 42,43 :…”

Section: Flow Analysis Of the Problemmentioning

confidence: 99%

Impact of the magnetic dipole on stagnation point flow of ferromagnetic Walters‐B liquid: A passive control approach with Buongiorno's model

Jayaprakash

Lalitha

Sarada³

et al. 2021

Heat Trans

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The properties of ferromagnetic fluids make them suitable for a wide range of applications, including loudspeakers, magnetic resonance imaging, computer hard drives, magnetic drug delivery, and magnetic hyperthermia. Owing to all such potential applications, the present research work is established to explain the stagnation point flow, heat, and mass transfer of Walters-B liquid in the presence of magnetic dipole, Brownian diffusion, and thermophoresis. To control

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“…Vajravelu et al [27] used the Keller box method to discuss the heat transport analysis of a viscous liquid past a stretchable sheet. Recently, Kumar et al [28] explored the magnetic dipole and thermophoretic effects on Maxwell nanoliquid flow on a stretchable sheet. Gowda et al [29] deliberated the heat and mass transport analysis of nanoliquid flow past a stretchable sheet.…”

Section: Introductionmentioning

confidence: 99%

Heat and Mass Transfer Analysis in Chemically Reacting Flow of Non-Newtonian Liquid with Local Thermal Non-Equilibrium Conditions: A Comparative Study

Alhadhrami

Prasanna²,

Prasad³

et al. 2021

Energies

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In the current paper, we endeavour to execute a numerical analysis in connection with the boundary layer flow induced in a non-Newtonian liquid by a stretching sheet with heat and mass transfer. The effects of chemical reactions and local thermal non-equilibrium (LTNE) conditions are considered in the modelling. The LTNE model is based on energy equations, and provides unique heat transfer for both liquid phases. As a result, different temperature profiles for both the fluid and solid phases are used in this work. The model equation system is reduced by means of appropriate similarity transformations, which are then numerically solved by employing the classical Runge–Kutta (RK) scheme along with the shooting method. The resultant findings are graphed to show the effects of various physical factors on the involved distributions. Outcomes reveal that Jeffrey fluid shows improved velocity for lower values of porosity when compared to Oldroyd-B fluid. However, for higher values of porosity, the velocity of the Jeffery fluid declines faster than that of the Oldroyd-B fluid. Jeffery liquid shows improved fluid phase mass transfer, and decays more slowly than Oldroyd-B liquid for higher values of chemical reaction rate parameter.

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Impact of magnetic dipole on thermophoretic particle deposition in the flow of Maxwell fluid over a stretching sheet

Cited by 92 publications

References 26 publications

Active and passive control of nanoparticles in ferromagnetic Jeffrey fluid flow

Active and passive control of nanoparticles in ferromagnetic Jeffrey fluid flow

Impact of the magnetic dipole on stagnation point flow of ferromagnetic Walters‐B liquid: A passive control approach with Buongiorno's model

Heat and Mass Transfer Analysis in Chemically Reacting Flow of Non-Newtonian Liquid with Local Thermal Non-Equilibrium Conditions: A Comparative Study

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