A comprehensive review on microchannel heat sinks for electronics cooling

ZQ Yu, MT Li, BY Cao - International Journal of Extreme …, 2024 - iopscience.iop.org
The heat generation of electronic devices is increasing dramatically, which causes a serious
bottleneck in the thermal management of electronics, and overheating will result in …

Generalized slip impact of Casson nanofluid through cylinder implanted in swimming gyrotactic microorganisms

K Gangadhar, T Sujana Sree, A Wakif - International Journal of …, 2024 - World Scientific
In this paper, the self-propelled movement on gyrotactic swimming microorganisms into this
generalized slip flow by nanoliquid over the stretching cylinder with strong magnetic field is …

Deep reinforcement learning with deep-Q-network based energy management for fuel cell hybrid electric truck

Z Wang, S Zhang, W Luo, S Xu - Energy, 2024 - Elsevier
To better utilize hydrogen energy from fuel cell electric vehicles (FCEVs), an investigation is
conducted into how a proton exchange membrane fuel cell (PEMFC) hybrid vehicle's 100 …

Machine learning-based multi-objective optimization and physical-geometrical competitive mechanisms for 3D woven thermal protection composites

H Liang, W Li, Y Li, Y Li - International Journal of Heat and Mass Transfer, 2024 - Elsevier
Abstract 3D woven composite materials are prime candidates for thermal protection due to
their significant thermophysical properties, which necessitates accurate prediction of these …

Computational study on the impact of geometric parameters on the overall efficiency of multi-branch channel heat sink in the solar collector

A Najafpour, E Montazer, K Hosseinzadeh… - … Communications in Heat …, 2024 - Elsevier
Enhancing the thermal performance of electronic devices is a persistent challenge. Liquid-
cooled Multi-branch-channel heat sinks (MBCHSs) offer a promising solution. The present …

Multi-objective optimization of a laterally perforated-finned heat sink with computational fluid dynamics method and statistical modeling using response surface …

J Li, DJ Jasim, DH Kadir, H Maleki, NN Esfahani… - … Applications of Artificial …, 2024 - Elsevier
The present paper examines turbulent flow and heat transfer characteristics of a three-
dimensional laterally perforated finned heat sink (LPFHS) using response surface …

Predicting the performance of a photovoltaic unit via machine learning methods in the existence of finned thermal storage unit

M Kiaghadi, M Sheikholeslami, AM Alinia… - Journal of Energy …, 2024 - Elsevier
The process of cooling the photovoltaic (PV) cells is essential since increasing solar cell
temperatures reduces electrical effectiveness. One suggested method to reduce cell …

Optimizing photovoltaic thermal solar systems efficiency through advanced artificial intelligence driven thermal management techniques

WM Shaban, AE Kabeel, MEH Attia… - Applied Thermal …, 2024 - Elsevier
Abstract Photovoltaic Thermal (PV/T) solar systems have the capacity to convert solar
radiation into both electrical and thermal energy. Solar cells convert solar radiation into …

Advances in nanofluids for tubular heat exchangers: Thermal performance, environmental effects, economics and outlook

T Rehman, CW Park - Energy, 2024 - Elsevier
Heat transfer deterioration in thermal systems significantly limits the efficiency and
practicality of these systems. This review explores state-of-the-art studies on the use of …

An imperative need for machine learning algorithms in heat transfer application: a review

M Ramanipriya, S Anitha - Journal of Thermal Analysis and Calorimetry, 2024 - Springer
In recent years, modeling of heat exchanger is increased due to transient prediction,
optimization, and performance calculations. Nanofluids play a vital role in increasing heat …