Natural convection heat transfer characteristics of sinusoidal cavities filled with nanofluids

Tian, Zhen; Tang, Zhibo; Qi, Cong; Chen, Lanqi; Wang, Yuwei

doi:10.1016/j.colsurfa.2022.129309

Cited by 16 publications

(4 citation statements)

References 53 publications

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“…The practical applications of such phenomena can be found in many engineering and industrial applications, to name a few, solar collector panels, cooler of electronic processors and thermal energy storage systems as reported by Biswas et al (2021), Biswas et al (2022) and Mandal et al (2022). The impact of amplitude, number of undulations, wave length besides the operating and boundary conditions on the stream function, isotherm contours and Nusselt number local and average has been well reported in the works (Dogonchi et al , 2021; Biswas et al , 2022; Tian et al , 2022; Aljabair et al , 2021; Nishad et al , 2021; Ghalambaz et al , 2016; Esfe et al , 2015). On the other hand, further investigations still needed especially when incorporating additional influencer part in the cavity like nonuniformly warmed sheet in the presence of hybrid nanoliquid in the wavy region.…”

Section: Introductionmentioning

confidence: 85%

Heat transfer enhancement in a corrugated chamber filled with hybrid nanofluid under an influence of internal heated plate

Hamza

Theeb

Sheremet

2023

HFF

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Purpose The purpose of this research is to scrutinize numerically the effect of internally equipped nonuniformly heated plate within wavy cavity on heat transfer enhancement in the case of hybrid nanofluid flow. Design/methodology/approach The two-dimensional, steady, laminar, Newtonian and incompressible thermo-fluid flow phenomenon has been investigated numerically using Galerkin method. The considered parameters including number of waves (3–7), nondimensional length of heated plate (0.4–0.8), plate inclination angle (0º–90º), Rayleigh number (103–106) and concentration of nanoparticles (0.0–2.0) have been investigated in combination with involving hybrid nanofluid as a working fluid to augment thermal properties effectively. Two vertical wavy boundaries have low temperature whilst the other horizontal surfaces are adiabatic. Findings The Rayleigh number has a moderate impact on the values of Nusselt number, and skin friction parameter varied from 103 to 105 while it strongly affects them for Ra = 106, where Nu is roughly doubled (approximately 200%) in comparison with its value at Ra = 105 for all cases. Stream function is changed by the orientation of heated plate and Ra values, where its maximum value was 12.9 in horizontal position and 13.6 at vertical one. Results indicate a separation from the wavy walls at low Ra which tends to keep stagnation region at the deep parts of corrugated walls contrary the case at high Ra. The behavior of the isotherm contours tends to be distributed more evenly at lower values of Ra and angle of inclination lower than 45º. The resulting properties from mixing two materials for hybrid nanofluid into one base fluid show a good compromise between thermal capacity and heat conductivity, which is improved by 16% that leads to enhanced convective energy transport in the wavy chamber. Originality/value The originality of this work is the considered physical phenomenon where an influence of internal nonuniformly heated plate has been studied for the irregular geometry filled with a hybrid nanofluid. Such analysis allows defining the possible heat transfer enhancement for such an irregular cavity and inner heated plate.

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Section: Introductionmentioning

confidence: 85%

Heat transfer enhancement in a corrugated chamber filled with hybrid nanofluid under an influence of internal heated plate

Hamza

Theeb

Sheremet

2023

HFF

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“…Zhu et al [9], Huelsz et al [10] and Li et al [11] conducted an analysis on the natural convection phenomenon in a square cavity at various inclination angles, and concluded that Nu in the square cavity exhibits a power law relationship with Ra under specific inclination angles. Tian et al [12] conducted an analysis of the natural convection process in a cavity with a sinusoidal wall surface under various amplitudes and found that the maximum value of Nu and optimal heat transfer occurred when the amplitude was 3 mm and wave number was 2. Uddin et al [13] investigated the impact of vertical wall waveform on heat transfer and flow in the cavity, concluding that surface undulations can augment vortex formation and enhance thermal exchange.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Natural Convection with Sinusoidal Temperature Distribution of Heat Source at the Bottom of an Enclosed Square Cavity

Zeng,

Wang,

et al. 2024

Entropy

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The lattice Boltzmann method is employed in the current study to simulate the heat transfer characteristics of sinusoidal-temperature-distributed heat sources at the bottom of a square cavity under various conditions, including different amplitudes, phase angles, initial positions, and angular velocities. Additionally, a machine learning-based model is developed to accurately predict the Nusselt number in such a sinusoidal temperature distribution of heat source at the bottom of a square cavity. The results indicate that (1) in the phase angle range from 0 to π, Nu basically shows a decreasing trend with an increase in phase angle. The decline in Nu at an accelerated rate is consistently observed when the phase angle reaches 4π/16. The corresponding Nu decreases as the amplitude increases at the same phase angle. (2) The initial position of the sinusoidal-temperature-distributed heat source Lc significantly impacts the convective heat transfer in the cavity. Moreover, the decline in Nu was further exacerbated when Lc reached 7/16. (3) The optimal overall heat transfer effect was achieved when the angular velocity of the non-uniform heat source reached π. As the angular velocity increases, the local Nu in the square cavity exhibits a gradual and oscillatory decline. Notably, it is observed that Nu at odd multiples of π surpasses that at even multiples of π. Furthermore, the current work integrates LBM with machine learning, enabling the development of a precise and efficient prediction model for simulating Nu under specific operational conditions. This research provides valuable insights into the application of machine learning in the field of heat transfer.

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“…They detected that the convective heat transfer surged by 32% with 1% of Al 2 O 3 in Al 2 O‐water nanofluid. The regular convection heat transmission features of sinusoidal cavities occupied with nanoliquid were considered by Tian et al 16 They initiated that the Nusselt number surges with nanofluids mass fraction and warming strength. Nouraei et al 17 assessed the heat transmission for a mixed convection stream of copper‐water nanofluid in a semi‐circular open cavity.…”

Section: Introductionmentioning

confidence: 99%

Convective flow of ethylene glycol‐silver Jeffery nanofluid in a Hele‐Shaw cell with an influence of external magnetic field

Yadav

Al‐Balushi

Awasthi

et al. 2023

Asia-Pacific J Chem Eng

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This effort investigates the arrival of magnetothermal convection of ethylene glycol‐silver Jeffrey nanofluid in a Hele‐Shaw cell utilizing the linear stability concept. The model practiced for the Jeffrey nanofluid includes the impacts of Brownian movement and thermophoresis. The norms for both marginal and overstable modes of convections are developed analytically. The impact of magnetic Chandrasekhar number QM, magnetic Prandtl number Prm, Jeffrey parameter δ, Hele‐Shaw number HS, and a variety of nanofluid parameters such as the volumetric fraction of nanoparticles ϕ, nanoparticle Rayleigh number Rp, adjusted diffusive ratio NA, and Lewis number italicLe on the beginning of convective motion are investigated, and results are illustrated graphically. It is observed that the overstable approach of convection is probable below the certain threshold estimate of the magnetic Prandtl number Prm. This threshold estimate of the magnetic Prandtl number Prm upturns with a rise in the rate of QM, HS, and δ, while it drops with a surge in the nanofluid parameters. The system was found to be more stable by decreasing the Hele‐Shaw number HS, the Jeffery parameter δ, and nanofluid parameters, while it was unstable by decreasing the magnetic Chandrasekhar number QM and the magnetic Prandtl number Prm.

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Natural convection heat transfer characteristics of sinusoidal cavities filled with nanofluids

Cited by 16 publications

References 53 publications

Heat transfer enhancement in a corrugated chamber filled with hybrid nanofluid under an influence of internal heated plate

Heat transfer enhancement in a corrugated chamber filled with hybrid nanofluid under an influence of internal heated plate

Simulation of Natural Convection with Sinusoidal Temperature Distribution of Heat Source at the Bottom of an Enclosed Square Cavity

Convective flow of ethylene glycol‐silver Jeffery nanofluid in a Hele‐Shaw cell with an influence of external magnetic field

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