Mixed Convection Heat Transfer Analysis in an Enclosure with Two Hot Cylinders: A Lattice Boltzmann Approach

Darzi, A. Ali Rabienataj; Eisapour, Amir Hossein; Abazarian, Arman; Hosseinnejad, Farhad; Afrouzi, Hamid Hassanzadeh

doi:10.1002/htj.21207

Cited by 9 publications

(1 citation statement)

References 33 publications

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“…Through the previous papers, it was realized that thermal activity has a clear relationship with the quality of fluid, the shape of the body and its temperature, in addition to the external factors such as the presence of relative forces. For example, Darzi et al (2017) conducted an indepth study on the positioning of two hot bodies inside a square room with the effect of thermal buoyancy. Also, the upper wall of the room moves from left to right in an ordinary and steady manner.…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation of the Nanofluid Natural Convection Flow in a Cpu Heat Sink Using Buongiorno Tow-Phase Model

Anouar¹,

Mokhefi²

2022

JSSCM

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In this paper, a numerical investigation using the finite element method on the cooling capacity of an electronic heat sink has been presented. This heat sink is intended for cooling applications of micro-computer CPUs. It deals with a parallelepipedal block with rectangular fins, filled with a nanofluid and crossed by four cylindrical pipes in which a cooling gas flows and dissipates the heat generated by the processor. Indeed, the cooling occurs by three transfers: the first one evacuates the heat from the processor towards the gas, the second one transfers this heat towards the nanofluid and the last one is cooled from the ambient air by means of the fins laterally arranged on the block. From this work, it has been planned to contribute to the study of the behavior of a nanofluid in the heat sink in the presence of a uniform magnetic field in order to enhance the operating and cooling performances. The effects of some control parameters have been highlighted on the hydrodynamic, thermal, and mass behavior of the nanofluid, namely: the Rayleigh number (103 â‰¤ Ra â‰¤ 105), the Hartmann number (0 â‰¤ Ha â‰¤ 100), the angle of inclination of the magnetic field (0 â‰¤ Î³ â‰¤ 90Â°) and the nanoparticles diameter (1 nm â‰¤ dp â‰¤ 10 nm). On the other hand, a new fin design has been proposed in this study allowing the enhancement of the heat exchange rate with ambient medium. The studied phenomenon is governed by the equations of the two-phase nanofluid model proposed by Buongiorno and which describe the following balances: mass, momentum, energy and nanoparticles. The system of partial differential equations with initial-boundary conditions has been solved by the finite element method. After performing a mesh independence check and validating with previous papers, the results of the investigation were presented. They showed that the application of a magnetic field significantly reduces the rate of heat exchange. However, increasing the angle of inclination of this field promotes convective heat transfer. Moreover, the use of zigzag fins improves the cooling rate by about 4% for amplitude of 0.05 compared to the standard configuration.

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Section: Introductionmentioning

confidence: 99%

Numerical Investigation of the Nanofluid Natural Convection Flow in a Cpu Heat Sink Using Buongiorno Tow-Phase Model

Anouar¹,

Mokhefi²

2022

JSSCM

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Mixed convective heat transfer in an open cavity with fins

Abu‐Ghurban,

Al‐Farhany

2024

Heat Trans

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This work numerically explores the mixed convective heat transfer in an open square enclosure containing conducting fins fixed to the heated vertical wall. This kind of work with fins has enormous potential due to its applications in research, engineering, and current industries. Therefore, the current work is highly significant to understand the impact of mixed convection. The external flow enters from the hole in the bottom wall and leaves from the hole in the upper wall. The left vertical wall of the enclosure is heated isothermally, and the fins are attached to the heated walls at a uniform height. Both the upper and lower walls are adiabatic, whereas the right sidewall is at a lower temperature. The non‐dimensional transport equations are resolved by using the finite element method. The study is accomplished for the wide control variables range, such as Reynolds number (50 ≤ Re ≤ 200), Richardson's number (0.1 ≤ Ri ≤ 10), the length of the fins (Lf = 0.2, 0.4, and 0.6), the size of the outlet opening (Wout = 0.1, 0.2, and 0.3), and the gaps in between the outlet hole and left heated wall (S = 0, 0.45, and 0.9). The results show that the thermal performance of the open enclosure is meaningfully affected by the control parameters. The maximum and minimum heat transfer happens when the position of the outlet opening is at the left (S = 0) and right (S = 0.9), respectively. The heat transfer improves by raising the Ri and Re, whereas increasing the fin's length and distance between the outlet opening and left wall reduces heat transfer significantly. The rises 13% with a decrease in the fin's length from 0.6 to 0.2 at Re = 200, S = 0 due to the improvement of the convection on the heated wall. Also, increases by 15% when Ri increases from 1 to 9.

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Numerical study of turbulent nanofluid heat transfer in a tubular heat exchanger with twin twisted-tape inserts

Hosseinnezhad

Akbari

Afrouzi

et al. 2017

J Therm Anal Calorim

116

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Mixed Convection Heat Transfer Analysis in an Enclosure with Two Hot Cylinders: A Lattice Boltzmann Approach

Cited by 9 publications

References 33 publications

Numerical Investigation of the Nanofluid Natural Convection Flow in a Cpu Heat Sink Using Buongiorno Tow-Phase Model

Numerical Investigation of the Nanofluid Natural Convection Flow in a Cpu Heat Sink Using Buongiorno Tow-Phase Model

Mixed convective heat transfer in an open cavity with fins

Numerical study of turbulent nanofluid heat transfer in a tubular heat exchanger with twin twisted-tape inserts

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