Magnetized hybrid nanofluid flow within a cube fitted with circular cylinder and its different thermal boundary conditions

Acharya, Nilankush

doi:10.1016/j.jmmm.2022.170167

Cited by 68 publications

(13 citation statements)

References 67 publications

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“…This would require the development of a comprehensive multi physics simulation framework that incorporates the transport of nanoparticles, the porous medium, and the fluid. Furthermore, in the future, interested researchers may develop new AI-based integrated intelligent networks [53][54][55][56][57] for solving nonlinear stiff systems that present fluidic flow models [58][59][60][61][62].…”

Section: Future Recommendationsmentioning

confidence: 99%

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

et al. 2023

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The research community has shown great interest for investigation in the nanofluids models involving Aluminum Alloys AA7072 and AA7072 +AA7075 due to their advantageous impact on heat transfer, physical and mechanical characteristic exploiting in broad engineering applications such as manufacturing of spacecraft, aircraft parts and building testing. The hybrid nanomaterial AA7072-AA7075 based fluidic system is investigated in this paper using an artificial neural network with Bayesian regularization scheme (ANNs-BRS). The derived partial differential equations (PDEs) are transformed into ordinary differential equations system ODEs and obtained the reference datasets for the estimated solution dynamics of hybrid nanofluidic system. For prominent parameters, the influence of flow on the temperature distribution and velocity plot are investigated. The performance on 80% training samples, 5% testing and 15% validation dataset for ANNs-BRS is well-established in terms of error histogram plots, regression analysis, and MSE based statistics. The results for entropy generation, Eckert number Ec, magnetic interaction parameter M, suction parameter S, and heat generation parameter 𝑄 are also discussed. The results show that the Eckert number Ec has the effect of slowing down the rate of heat transfer while increasing the temperature and increases in suction parameter causes decrease in temperature while increase in temperature profile due to enhancement of suction parameter.

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Section: Future Recommendationsmentioning

confidence: 99%

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

et al. 2023

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“…Cao et al 27 discussed different levels of partial slip effect on ternary hybrid nanofluid utilizing different nanoparticles in base water fluid. Acharya 28 investigated the effects of hybrid nanofluid flow with thermal boundary conditions over a circular cylinder. Acharya 29 studied the effects of ferrofluid flow with nanoparticles diameter and solid–liquid via a spinning disk.…”

Section: Introductionmentioning

confidence: 99%

A computational fluid dynamics analysis on Fe3O4–H2O based nanofluid axisymmetric flow over a rotating disk with heat transfer enhancement

Farooq

Hassan

Fatima

et al. 2023

Sci Rep

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In present times modern electronic devices often come across thermal difficulties as an outcome of excessive heat production or reduction in surface area for heat exclusion. The current study is aimed to inspect the role of iron (III) oxide in heat transfer enhancement over the rotating disk in an axisymmetric flow. Water is utilized as base fluid conveying nano-particle over the revolving axisymmetric flow mechanism. Additionally, the computational fluid dynamics (CFD) approach is taken into consideration to design and compute the present problem. For our convenience, two-dimensional axisymmetric flow configurations are considered to illustrate the different flow profiles. For radial, axial, and tangential velocity profiles, the magnitude of the velocity, streamlines, and surface graphs are evaluated with the similarity solution in the computational fluid dynamics module. The solution of dimensionless equations and the outcomes of direct simulations in the CFD module show a comparable solution of the velocity profile. It is observed that with an increment in nanoparticle volumetric concentration the radial velocity decline where a tangential motion of flow enhances. Streamlines stretch around the circular surface with the passage of time. The high magnetization force $$0 \le {{\mathrm{m}}_{1}}\le 6$$ 0 ≤ m 1 ≤ 6 resist the free motion of the nanofluid around the rotating disk. Such research has never been done, to the best of the researchers’ knowledge. The outcomes of this numerical analysis could be used for the design, control, and optimization of numerous thermal engineering systems, as described above, due to the intricate physics of nanofluid under the influences of magnetic field and the inclusion of complex geometry. Ferrofluids are metallic nanoparticle colloidal solutions. These kinds of fluids do not exist in nature. Depending on their purpose, ferrofluids are produced using a variety of processes. One of the most essential characteristics of ferrofluids is that they operate in a zero-gravity environment. Ferrofluids have a wide range of uses in engineering and medicine. Ferrofluids have several uses, including heat control loudspeakers and frictionless sealing. In the sphere of medicine, however, ferrofluid is employed in the treatment of cancer via magneto hyperthermia.

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“…Several studies have used enclosures and square cavities of different aspect ratios and sizes in the past few years, including entropy generation, 29–33 heat transmission, 34–39 and MHD effects 40–43 …”

Section: Introductionmentioning

confidence: 99%

“…Several studies have used enclosures and square cavities of different aspect ratios and sizes in the past few years, including entropy generation, [29][30][31][32][33] heat transmission, [34][35][36][37][38][39] and MHD effects. [40][41][42][43] This research aims to examine and evaluate the natural convection in the cavity of a square containing square obstacles.…”

Section: Introductionmentioning

confidence: 99%

Obstacle's effects and their location inside the square cavity on the thermal performance of Cu–Al₂O₃/H₂O hybrid nanofluid

et al. 2023

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The current study focuses on the effect of obstacles and their positioning within the square cavity (L = H) on heat exchange. This work considers heating the cavity's bottom wall to a steady, high temperature. The top wall of the cavity is adiabatic, while the two vertical side walls are cooled. Four cases are explored under these conditions: the first case is a square‐shaped cavity holding a square‐shaped obstacle h = l = 0,15 L, while the other three cases, respectively, each include two, three, and four square obstacles. The cavity was filled with Cu–Al2O3/H2O hybrid nanofluid with a volume fraction φ = 0.03. Numerical results for laminar and stationary flow regimes with Rayleigh numbers 104 ≤ Ra ≤ 106. The finite volume approach solves the governing equations numerically. The findings show that the number of square obstacles within the square‐shaped cavity significantly impacts heat exchange and hybrid nanofluid flow. The second example, with two square obstacles, improves heat exchange more than other cases with one to four barriers. In the second example, the obstacle location at the plane Y = 0.25H is suitable and helps boost heat transmission of the hybrid nanofluid. The ideal obstacle position in the fourth scenario, which has four square barriers, is at the plane Y = 0.75H.

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Magnetized hybrid nanofluid flow within a cube fitted with circular cylinder and its different thermal boundary conditions

Cited by 68 publications

References 67 publications

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

A computational fluid dynamics analysis on Fe3O4–H2O based nanofluid axisymmetric flow over a rotating disk with heat transfer enhancement

Obstacle's effects and their location inside the square cavity on the thermal performance of Cu–Al₂O₃/H₂O hybrid nanofluid

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Magnetized hybrid nanofluid flow within a cube fitted with circular cylinder and its different thermal boundary conditions

Cited by 68 publications

References 67 publications

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium

A computational fluid dynamics analysis on Fe3O4–H2O based nanofluid axisymmetric flow over a rotating disk with heat transfer enhancement

Obstacle's effects and their location inside the square cavity on the thermal performance of Cu–Al2O3/H2O hybrid nanofluid

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Obstacle's effects and their location inside the square cavity on the thermal performance of Cu–Al₂O₃/H₂O hybrid nanofluid