A novel microchannel-twisted pinfin hybrid heat sink for hotspot mitigation

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 241, P. 122454 - 122454

Published: Jan. 16, 2024

Language: Английский

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Effect of Shape and Placement of Twisted Pin Fins in a Rectangular Channel on Thermo-Hydraulic Performance

Journal of Thermal Science, Journal Year: 2024, Volume and Issue: 33(5), P. 1773 - 1793

Published: Aug. 22, 2024

Language: Английский

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The overall thermal performance enhancement in an internal cooling channel by the hierarchical-truncated rib scheme

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)

Published: Feb. 1, 2025

In an internal cooling channel, the overall thermal performance enhancement is studied under various hierarchical-truncated rib schemes via computational fluid dynamics simulation. The simulation result shows that in a wide Reynolds number range, low-pressure recirculation region behind ribs significantly compressed by linearly decreased height. Hence, with height, pressure drop penalty less hierarchical scheme than non-hierarchical scheme, resulting scheme. comparison other schemes, distribution of smooth flows, transverse vortices, and spanwise vortices better fractal-truncated there performance. further enhanced optimizing vortices. As optimized distribution, best simultaneously realized gap length spacing which composed significant heat transfer extreme flow loss reduction.

Language: Английский

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Large Eddy Simulation Approaches for Trailing-Edge Heat Transfer in Gas Turbine Blades: A Review

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1386 - 1386

Published: March 11, 2025

The trailing edge of gas turbine blades encounters concentrated heat loads, necessitating cooling techniques distinct from those used in mid-chord regions. Narrow channels these areas typically incorporate pin fins or dimples for internal cooling. In contrast, external relies on cutback film configurations, which differ significantly designs. Large eddy simulation (LES) has emerged as a powerful tool investigating transfer challenging environments, capturing intricate flow phenomena and turbulence effects that Reynolds-Averaged Navier–Stokes (RANS) simulations often cannot resolve. This review synthesizes findings 54 LES-based studies cooling, focusing three key configurations: fin arrays, dimpled surfaces, LES consistently demonstrated higher accuracy predicting effectiveness, outperforming RANS by resolving complex structures such horseshoe vortices, shear layer unique interactions inherent to geometries. Furthermore, provided detailed statistics local distributions, offering critical insights optimizing improving predictive models. Beyond its capabilities, this underscores the future potential advancing shape optimization, transient analysis, multi-physics simulations, including conjugate flow-structure interactions.

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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Conjugate thermo-hydraulic evaluation of triply periodic minimal surfaces and pin fins

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126667 - 126667

Published: April 1, 2025

Language: Английский

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CFD and ANN analyses for the evaluation of the heat transfer characteristics of a rectangular microchannel heat sink with various cylindrical pin-fins

Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 60(8), P. 1393 - 1411

Published: July 12, 2024

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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A triple-hybrid battery thermal management system with drop-shaped fin channels for improving weather tolerance

Energy, Journal Year: 2024, Volume and Issue: 307, P. 132752 - 132752

Published: Aug. 8, 2024

Language: Английский

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The role of Tesla valves in microchannel flow boiling

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 234, P. 126148 - 126148

Published: Sept. 5, 2024

Language: Английский

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