Passive enhanced heat transfer, hotspot management and temperature uniformity enhancement of electronic devices by micro heat sinks: A review

International Journal of Heat and Fluid Flow, Journal Year: 2024, Volume and Issue: 107, P. 109368 - 109368

Published: April 16, 2024

Language: Английский

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Enhanced thermal management in 3D integrated circuits: Low-pressure flow boiling in microchannels with multiple ultra-high heat flux sources using deionized water

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 164, P. 108796 - 108796

Published: March 3, 2025

Language: Английский

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Microchannel heat sinks for hotspot thermal management: achieving minimal pressure drop and maximal thermal performance

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 236, P. 126411 - 126411

Published: Nov. 9, 2024

Language: Английский

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A facile design of porous heat sink optimized thermodynamically for thermo-hydraulic performance

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 250, P. 123574 - 123574

Published: May 31, 2024

Language: Английский

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Numerical investigation on the thermal performance of perforated and non-perforated twisted fins at different twisting angles

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102332 - 102332

Published: June 15, 2024

The present study numerically investigated the effect of variations in twisting angle and perimeter diamond-shaped perforation on heat transfer twisted fin sinks. showed a possible configuration sink design, aiming to improve hydrothermal performance factor (HTPF). ANSYS/FLUENT computational fluid dynamics software was used perform simulations, Reynolds-averaged Navier–Stokes-based k−ε turbulence model used. Results revealed that maximum 46 % enhancement Nusselt number 25 increase (HTPF) could be attained with 540° comparison conventional cylindrical fins. Furthermore, variation at resulted 28 value 36 HTPF fins no perforations. Therefore, this is recommended as optimal configuration.

Language: Английский

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Machine learning-based thermal performance study of microchannel heat sink under non-uniform heat load conditions

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 253, P. 123769 - 123769

Published: June 21, 2024

Language: Английский

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A novel center-hybrid pin-fin microchannel heat sink with embedded secondary microchannels for hotspot thermal management

International Journal of Thermal Sciences, Journal Year: 2024, Volume and Issue: 207, P. 109381 - 109381

Published: Aug. 29, 2024

Language: Английский

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The Potential of Hourglass-Shaped Pin-Fins on Enhancing Thermohydraulic Performance in Microchannel Arrays

Heat Transfer Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: April 1, 2025

Language: Английский

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Heat transfer and pressure drop characteristics of microchannel cold plate in commercial CPU-package cooling system

International Journal of Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 246, P. 127060 - 127060

Published: April 10, 2025

Language: Английский

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Optimising shapes of multiple pin fins in a microchannel using deep reinforcement learning and mesh deformation techniques

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 256, P. 124099 - 124099

Published: Aug. 3, 2024

The utilisation of advanced pin fin designs in microchannels is useful for enhancing cooling efficiency. Advancements machine learning and processing power have sparked interest shape optimisation techniques. This research employs a novel framework that integrates Deep Artificial Neural Networks Reinforcement Learning with Computational Fluid Dynamics (CFD) solver to optimise multiple shapes within microchannel. By incorporating Radial Basis Function interpolation Proximal Policy Optimisation alongside FLUENT, acting as the CFD environment, reinforcement agent adeptly explores design space enhance thermohydraulic performance factor (TPF), aiming maximise Nusselt number while minimising pressure loss. Unlike previous heat transfer studies, which typically required mesh regeneration at each step, proposed could bypass meshing step alter geometry directly by relying on RBF technique deform directly. Three distinct scenarios investigated this study are uniform deformation all fins, fins arranged two rows, individual fin. Extensive simulations, exceeding 90,000 different cases, demonstrate although process requires more iterations compared others, it surpasses them terms TPF improvement. Notably, significant improvements achieved, such 49 % enhancement 33 reduction drop, culminating an impressive 63 increase initial geometry.

Language: Английский

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