Experimental investigation of heat transfer in pin-fins heat sinks for cooling applications

Alnaimat, Fadi; Ziauddin, Mohammed

doi:10.1007/s00231-020-02947-1

Cited by 14 publications

(2 citation statements)

References 23 publications

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“…Figure 4 shows the numerical model results validated with previous experimental results for the MBT. Alnaimat and Ziauddin 45 analyzed copper square pin‐fins for an applied power of 21.9 W, and the Reynolds number (Re) of 320. Yang et al 46 investigated the numerical and experimental capacity of pin‐fin heat sinks with triangular, circular, and square‐shaped fin configurations for an applied constant heat flux of 2000 kW/m 2 , and DI water is used as the coolant, with the mass flow rate of 0.01 kg/s at the inlet.…”

Section: Resultsmentioning

confidence: 99%

Composite pin‐fin heat sink for effective hotspot reduction

Khan,

Ali,

Rehman

et al. 2024

Heat Trans

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This current work aims to decrease temperature nonuniformity in a microprocessor. The proposed composite pin‐fin heat sink design is analyzed computationally, and its functioning is compared with the conventional heat sink design. According to the heat rate, the composite heat sink is divided into two sections: the hotspot and the background section. Aluminum, copper, and graphene are chosen for the background and hotspot sections. Both noncomposite and composite heat sinks are designed with similar geometrical dimensions. DI water is used as the working fluid. They are studied for heterogeneous hotspot heat flux varying from 200 to 600 kW/m2 by keeping constant background heat flux as 100 kW/m2 with the inlet mass flow rate of 0.05 kg/s. Further simulations are performed for various Reynolds numbers (Re = 150, 225, 300) with a constant background and hotspot heat flux of 100 and 600 kW/m2, respectively, for different inlet temperatures of 15°C, 20°C, and 25°C. The simulations are also carried out for other working fluids, such as TiO2 and Fe2O3 based nanofluids with the constant volume concentration of 0.65% and 3%, respectively in the DI water, at the constant background and hotspot heat flux of 100 and 600 kW/m2, respectively. The results are shown for all the above studies planned. The results suggest that composite heat sinks with graphene as a composite material and Fe2O3 based nanofluid yields higher heat dissipation.

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Section: Resultsmentioning

confidence: 99%

Composite pin‐fin heat sink for effective hotspot reduction

Khan,

Ali,

Rehman

et al. 2024

Heat Trans

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“…Fins are frequently employed in many thermal engineering applications to accelerate the rate of heat transfer from heated surfaces. Fins are useful in removing heat from other electrical components, such as computer CPUs, heat evaporators, compressors, and internal combustion engines [28][29][30][31][32]. Also, wet extended surfaces are widely implemented in refrigeration and air conditioning, where heat transfer necessitates simultaneously chilling and dehumidifying humid air at room temperature.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Computing for the Radiative–Convective Heat Transfer of a Wetted Wavy Fin Using a Genetic Algorithm-Based Neural Network

Poornima,

Sarris,

Chandan

et al. 2023

Biomimetics

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Evolutionary algorithms are a large class of optimization techniques inspired by the ideas of natural selection, and can be employed to address challenging problems. These algorithms iteratively evolve populations using crossover, which combines genetic information from two parent solutions, and mutation, which adds random changes. This iterative process tends to produce effective solutions. Inspired by this, the current study presents the results of thermal variation on the surface of a wetted wavy fin using a genetic algorithm in the context of parameter estimation for artificial neural network models. The physical features of convective and radiative heat transfer during wet surface conditions are also considered to develop the model. The highly nonlinear governing ordinary differential equation of the proposed fin problem is transmuted into a dimensionless equation. The graphical outcomes of the aspects of the thermal profile are demonstrated for specific non-dimensional variables. The primary observation of the current study is a decrease in temperature profile with a rise in wet parameters and convective-conductive parameters. The implemented genetic algorithm offers a powerful optimization technique that can effectively tune the parameters of the artificial neural network, leading to an enhanced predictive accuracy and convergence with the numerically obtained solution.

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Thermal enhancement factors for 3D printed elements in square tube

Solnař

Dostál

2021

Heat Mass Transfer

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Experimental investigation of heat transfer in pin-fins heat sinks for cooling applications

Cited by 14 publications

References 23 publications

Composite pin‐fin heat sink for effective hotspot reduction

Composite pin‐fin heat sink for effective hotspot reduction

Evolutionary Computing for the Radiative–Convective Heat Transfer of a Wetted Wavy Fin Using a Genetic Algorithm-Based Neural Network

Thermal enhancement factors for 3D printed elements in square tube

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