A review of flow and heat transfer in cavities and their applications

Hussien, Ahmed A.; Al‐Kouz, Wael; Hassan, Mouhammad El; Janvekar, Ayub Ahmed; Chamkha, Ali J.

doi:10.1140/epjp/s13360-021-01320-3

Cited by 40 publications

(10 citation statements)

References 151 publications

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“…Water, engine oil, glycerol, ethylene glycol (EG), refrigerants, and other traditional heat transfer fluids have low thermal conductivity (TC). 5 Mx had put forward the concept of adding particles into the liquid to increase its TC as early as 1873. 6 Later in 1995, Choi 7 put forward a formal conception of NFs.…”

Section: Introductionmentioning

confidence: 99%

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Kanti

Jamei³

et al. 2022

Intl J of Energy Research

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Summary In this work, Al2O3 and CuO nanoparticles were synthesized by a novel sol‐gel method. Then, water‐based Al2O3 and Al2O3‐CuO (50:50) nanofluids were produced by the two‐step method. The viscosity and thermal conductivity of nanofluids were determined for the concentration and temperature range of 0‐1.0 vol.% and 30‐60°C, respectively. Sodium dodecylbenzene sulfonate surfactant was used to enhance the nanofluid stability. Field emission scanning electron microscopy, transmission electron microscopy, and x‐ray diffraction techniques were used for the morphological characterization of the nanoparticles. The pH and zeta potential were used to determine the stability of the nanofluid. The outcomes show that the maximum augmentation in thermal conductivity and viscosity of hybrid nanofluid is 14.6 and 6.5% higher than Al2O3 nanofluid for 1.0 vol.% at 60 and 30°C, respectively. The maximum viscosity enhancement of Al2O3 and hybrid nanofluid is 14.9 and 21.4% is noticed at 30°C for a concentration of 1 vol. % relative to the base liquid. The novel equations were proposed to estimate the viscosity and thermal conductivity of hybrid nanofluid based on the experimental results with R2 values of 0.99 and 0.98, respectively. A cascaded forward neural network model was developed to predict the thermal properties using experimental datasets. The performance enhancement ratio of hybrid nanofluids indicated its potential for solar energy applications.

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Section: Introductionmentioning

confidence: 99%

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Kanti

Jamei³

et al. 2022

Intl J of Energy Research

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“…The buoyancy-driven flows inside closed differentially heated or partitioned geometries have received enormous attention in the scientific community for several practical applications starting from solar collectors, 1 crystal growth, 2 cooling, 3 food sterilization, 4,5 melting and solidification, 6 electronic and nuclear industries, 7,8 geothermal energy systems, 9 medical application, 10 etc. Natural convection needs no external force to let the fluid flow, rather the fluid flows due to density variation arising from the thermal gradient.…”

Section: Introductionmentioning

confidence: 99%

Effects of different thermal modes of obstacles on the natural convective Al₂O₃-water nanofluidic transport inside a triangular cavity

Acharya¹

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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This study investigates the Al2O3-water nanofluidic transport within an isosceles triangular compartment with top vertex downwards. The top wall is maintained isothermally cooled and left as well as right inclined walls are made uniformly heated. Two diamond-shaped obstacles are positioned inside the enclosure. The nanofluidic motion is supposed to be magnetically influenced. This investigation includes a fine analysis of how various thermal modes of obstacles affect the velocity and thermal profiles of the nanofluid. Appropriate similarity conversion leads to having a non-dimensional flow profile and is treated with Galerkin finite element scheme. The grid independency, experimental verification, and comparison assessments are directed to explore the model accuracy. The dynamic parameters like Rayleigh number [Formula: see text], nanoparticle volume fraction [Formula: see text], and Hartmann number [Formula: see text] are varied to perceive the noteworthy changes in isotherms, velocity, streamlines, and Nusselt number. The consequences specify average Nusselt number deteriorates for Hartmann number but escalates for nanoparticle concentration and Rayleigh number. Both heated and adiabatic obstacles exhibit high heat transport, while cold obstacles reveal the lowest magnitude in heat transmission. For Rayleigh number, cold obstacles reveal 34.51% heat transport enhancement, whereas it is 52.72% for heated obstacles compared to cold one. mathematics subject classification: 76W05

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“…They found that enhancing the thermophoresis and Brownian motion parameters improves the Nusselt number inside the cavity. Moreover, many other researchers have summarized reviews and studied the impact of different parameters on the flow and heat transfer characteristics in different cavities with different geometries including the impact of the magnetic field, porous media, rarefication effects, nanofluids and many others 32 – 37 .…”

Section: Introductionmentioning

confidence: 99%

Galerkin finite element analysis of magneto two-phase nanofluid flowing in double wavy enclosure comprehending an adiabatic rotating cylinder

Al‐Kouz

Bendrer

Abderrahmane

et al. 2021

Sci Rep

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In this work, the finite element method is employed to simulate heat transfer and irreversibilities in a mixed convection two-phase flow through a wavy enclosure filled with water–alumina nanoliquid and contains a rotating solid cylinder in the presence of a uniform magnetic field. Impact of the variations of undulations number (0 ≤ N ≤ 5), Ra (103 ≤ Ra ≤ 106), Ha (0 ≤ Ha ≤ 100), and angular rotational velocity (− 500 ≤ Ω ≤ 500) were presented. Isotherms distribution, streamlines and isentropic lines are displayed. The governing equations are verified by using the Galerkin Finite Element Method (GFEM). The Nusselt numbers are calculated and displayed graphically for several parametric studies. The computational calculations were carried out using Buongiorno's non-homogeneous model. To illustrate the studied problem, a thorough discussion of the findings was conducted. The results show the enhacement of the maximum value of the flow function and the heat transfer process by increasing the value of Rayleigh number. Furthermore the irreversibility is primarily governed by the heat transfer component and the increment of the waviness of the active surfaces or the cylinder rotational velocity or hartmann number will suppress the fluid motion and hinders the heat transfer process.

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A review of flow and heat transfer in cavities and their applications

Cited by 40 publications

References 151 publications

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Effects of different thermal modes of obstacles on the natural convective Al₂O₃-water nanofluidic transport inside a triangular cavity

Galerkin finite element analysis of magneto two-phase nanofluid flowing in double wavy enclosure comprehending an adiabatic rotating cylinder

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A review of flow and heat transfer in cavities and their applications

Cited by 40 publications

References 151 publications

Experimental study on the thermal properties of Al 2 O 3 ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Experimental study on the thermal properties of Al 2 O 3 ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Effects of different thermal modes of obstacles on the natural convective Al2O3-water nanofluidic transport inside a triangular cavity

Galerkin finite element analysis of magneto two-phase nanofluid flowing in double wavy enclosure comprehending an adiabatic rotating cylinder

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Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Experimental study on the thermal properties of Al ₂ O ₃ ‐CuO /water hybrid nanofluids: Development of an artificial intelligence model

Effects of different thermal modes of obstacles on the natural convective Al₂O₃-water nanofluidic transport inside a triangular cavity