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[HTML][HTML] Critical review on thermohydraulic performance enhancement in channel flows: A comparative study of pin fins
Effective thermal management is critical for optimising device performance, extending
product longevity, saving energy, protecting the environment, and avoiding thermal failures …
product longevity, saving energy, protecting the environment, and avoiding thermal failures …
Review of Thermal Design of SiC Power Module for Motor Drive in Electrical Vehicle Application
P Ning, X Hui, D Li, Y Kang, J Yang… - CES Transactions on …, 2024 - ieeexplore.ieee.org
In the current vehicle electric propulsion systems, the thermal design of power modules
heavily relies on empirical knowledge, making it challenging to effectively optimize …
heavily relies on empirical knowledge, making it challenging to effectively optimize …
[HTML][HTML] Analysis of heat transfer behavior of porous wavy fin with radiation and convection by using a machine learning technique
The impact of convection and radiation on the thermal distribution of the wavy porous fin is
examined in the present study. A hybrid model that combines the differential evolution (DE) …
examined in the present study. A hybrid model that combines the differential evolution (DE) …
Flow and heat transfer mechanism of a regenerative cooling channel mounted with pin-fins using supercritical CO2 as coolant
J Liu, M Xu, W Guo, W **, C Liu, B Sunden - International Journal of …, 2025 - Elsevier
At extremely high Mach number (Ma≥ 8), kerosene is faced with issues of cracking with a
limited heat sink for regenerative cooling. Supercritical CO 2 can be used as additional …
limited heat sink for regenerative cooling. Supercritical CO 2 can be used as additional …
Improvement of turbulent flow in a bend using rotational guide vane: A shape optimization
The present study aims to minimize velocity disruption using rotational guide vane (RGV)
before the 90 pipe bend where the curvature ratio is r/D= 1.0 at Re= 3× 10 4. The …
before the 90 pipe bend where the curvature ratio is r/D= 1.0 at Re= 3× 10 4. The …
Optimal height distribution design and experimental validation of pin-fin heat sink under natural convection based on dynamic surrogate model
W Fan, C Shi, W Liu, Z Liu - … Communications in Heat and Mass Transfer, 2024 - Elsevier
Pin-fin heat sinks are widely employed to dissipate heat from power devices under natural
convection conditions. To improve heat dissipation performance, optimization of the fin …
convection conditions. To improve heat dissipation performance, optimization of the fin …
[HTML][HTML] A novel case of honeycomb shaped pin fin heat sink: CFD-data driven machine learning models for thermal performance prediction
This research explores a useful thermal engineering application utilizing novel honeycomb-
shaped pin fins heat sink (PFHS). 3D incompressible flow and heat transfer are examined …
shaped pin fins heat sink (PFHS). 3D incompressible flow and heat transfer are examined …
Optimizing thermal performance of pin-fin arrays using Bayesian methods for turbine cooling
EM Mihalko, A Basak - International Journal of Heat and Mass Transfer, 2024 - Elsevier
Pin-fin arrays are crucial in the cooling of aerospace components. Specifically, pin-fins find
extensive usage in the trailing edge of turbine blades, primarily due to the harsh operating …
extensive usage in the trailing edge of turbine blades, primarily due to the harsh operating …
Rapid optimization for inner thermal layout in horizontal annuli using genetic algorithm coupled graph convolutional neural network
The present study introduces a novel optimization framework that combines a Graph
Convolutional Neural Network surrogate model with Genetic Algorithms (GCN-GA). This …
Convolutional Neural Network surrogate model with Genetic Algorithms (GCN-GA). This …
[HTML][HTML] Optimising shapes of multiple pin fins in a microchannel using deep reinforcement learning and mesh deformation techniques
The utilisation of advanced pin fin designs in microchannels is useful for enhancing cooling
efficiency. Advancements in machine learning and processing power have sparked interest …
efficiency. Advancements in machine learning and processing power have sparked interest …