Thermophoretic particle deposition in the flow of dual stratified Casson fluid with magnetic dipole and generalized Fourier's and Fick's laws

Chen, Shubo; Shahmir, Nazia; Ramzan, Muhammad; Sun, Yi; Aly, Ayman A.; Malik, M.Y.

doi:10.1016/j.csite.2021.101186

Cited by 38 publications

(12 citation statements)

References 56 publications

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“…Though the present methodology takes a lot longer to compute, it has better stability characteristics. In this approach, the higher order nonlinear ODEs (20)− (24) are first transformed into an first order ODEs with an appropriate BCs. The ODE is then integrated using the Runge-Kutta Fehlberg method with an adaptive step size until the other boundary is reached.…”

Section: Numerical Approachmentioning

confidence: 99%

“…Significance of the second-grade viscoelastic ferromagnetic nanofluid flow over the stretching surface has been discussed by Majeed et al [23]. Recently, doubly stratified Casson fluid flow over the stretching sheet with the presence of magnetic dipole and thermophoretic particle deposition is numerically studied by Chen et al [24]. Very recently, radiative non-Newtonian nanofluid flow over the rotating disc with presence of magnetic dipole and nonuniform heat source/sink is investigated by Ragupathi et al [25].…”

Section: Introductionmentioning

confidence: 99%

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Dynamics of non-Newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing

Ragupathi,

Prakash,

Muthtamilselvan

et al. 2024

Nanotechnology

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The advancement of non-Newtonian nanofluid innovation is a crucial area of research for physicists, mathematicians, manufacturers, and materials scientists. In engineering and industries, the fluid velocity caused by rotating device and nanofluid has a lot of applications such as refrigerators, chips, heat ex-changers, hybrid mechanical motors, food development, and so on. Due to the tremendous usage of the non-Newtonian nanofluid, the originality of the current study is to explore the influence of nanoparticle radii and inter-particle spacing effects on the flow characteristics of Casson Methanol-based Aluminium alloy $(AA7072)$ nanofluid through a rotating disc with Joule heating and magnetic dipole. The present problem is modeled in the form of partial differential equations (PDEs), and these PDEs are converted into ordinary differential equations with the help of suitable similarity transformations. The analytical solution to the current modeled problem has been obtained by using the Homotopy Analysis Method(HAM) and numerical solutions are obtained by employing Runge-Kutta-Fehlberg method along with shooting technique. The main purpose of the present research work is to analyze the behavior of the velocity and temperature of the nanofluid for small and large radius of the Aluminium alloy$(AA7072)$ nanoparticles and inter-particle spacing. The radial and tangential velocities are enhanced due to rising Ferro-hydrodynamic interaction parameter and the skin friction force for radial and tangential directions are enhanced $10.51\%$ and $2.16\%$ when $h=0.5$. Also. the heat transfer rate is reduced $18.71\%$ and $16.70\%$ when $h=0.5\%$ and $R_p=1.5$. In fact, the present results are compared with the published results and they met good agreement.

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Section: Numerical Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamics of non-Newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing

Ragupathi,

Prakash,

Muthtamilselvan

et al. 2024

Nanotechnology

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“…The model equations are expressed considering the above assumptions 4 , 9 , 27 : with a set of subsequent conditions: …”

Section: Mathematical Formulationmentioning

confidence: 99%

Performance-based comparison of Yamada–Ota and Hamilton–Crosser hybrid nanofluid flow models with magnetic dipole impact past a stretched surface

Gül

Ramzan

Nisar

et al. 2022

Sci Rep

Self Cite

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The nanofluid flows play a vital role in many engineering processes owing to their notable industrial usage and excessive heat transfer abilities. Lately, an advanced form of nanofluids namely “hybrid nanofluids” has swapped the usual nanofluid flows to further augment the heat transfer capabilities. The objective of this envisaged model is to compare the performance of two renowned hybrid nanofluid models namely Hamilton–Crosser and Yamada–Ota. The hybrid nanoliquid (TiO2-SiC/DO) flow model is comprised of Titanium oxide (TiO2) and Silicon carbide (SiC) nanoparticles submerged into Diathermic oil (DO). The subject flow is considered over a stretched surface and is influenced by the magnetic dipole. The uniqueness of the fluid model is augmented by considering the modified Fourier law instead of the traditional Fourier law and slip conditions at the boundary. By applying the suitable similarity transformations, the system of ordinary differential equations obtained from the leading partial differential equations is handled by the MATLAB solver bvp4c package to determine the numerical solution. It is divulged that the Yamada–Ota model performs considerably better than the Hamilton–Crosser flow model as far as heat transfer capabilities are concerned. Further, the velocity reduces on increasing hydrodynamic interaction and slip parameters. It is also noted that both temperature profiles increase for higher hydrodynamic interaction and viscous dissipation parameters. The envisioned model is authenticated when compared with an already published result in a limiting case.

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“…This research investigates the deposition of particles driven by thermophoresis in a flow involving a bilayer Casson nanofluid. It also considers the influence of the magnetic dipole field and uses generalized versions of Fourier's and Fick's law [39]. The study analyzed Soret and Dufour's effects on the flow of a 3D Casson nanofluid with dust particles in a permeable medium, considering different fluid particles [40].…”

Section: Introductionmentioning

confidence: 99%

Intelligent computing technique to study heat and mass transport of Casson nanofluidic flow model on a nonlinear slanted extending sheet

Hussain,

Islam,

Raja

et al. 2023

Z Angew Math Mech

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This paper explains the importance and benefits of using AI in fluid mechanics, emphasizing its capability of finding the solution of fluid flow systems through iterative optimization techniques. It explores how AI can enhance the understanding of fluid dynamics to improve engineering processes. In the presented studies, the heat and mass transport of the Casson nanofluidic flow model on a nonlinear slanted extending sheet (HMT‐CNFM) via AI‐based Levenberg Marquard methodology with backpropagated trained neural networks (TNN‐BLMM) is studied. By applying an appropriate transformation, the governing PDEs representing HMT‐CNFM are converted into a system of nonlinear ODEs. The dataset for Levenberg Marquard methodology with backpropagated trained neural network (TNN‐BLMM) for all six scenarios of this proposed model via computational power of the Lobatto IIIA scheme using the “bvp4c” package in MATLAB and then graphically illustrate all these six scenarios through nftool to attain mean square error, regression, error histogram, performance, and fit curve. Training, testing, and validation processes of NN‐BLMM are organized for the investigation of the HMT‐CNFM model.

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Thermophoretic particle deposition in the flow of dual stratified Casson fluid with magnetic dipole and generalized Fourier's and Fick's laws

Cited by 38 publications

References 56 publications

Dynamics of non-Newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing

Dynamics of non-Newtonian methanol conveying aluminium alloy over a rotating disc: consideration of variable nanoparticle radius and inter-particle spacing

Performance-based comparison of Yamada–Ota and Hamilton–Crosser hybrid nanofluid flow models with magnetic dipole impact past a stretched surface

Intelligent computing technique to study heat and mass transport of Casson nanofluidic flow model on a nonlinear slanted extending sheet

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