Parametric analysis of a PCM-based heat sink for electronic device thermal management
Abstract Integrating conventional Heat Sinks with Phase Change Materials (HS-PCM) is a
novel strategy for the thermal management of electronic devices. Although various studies …
novel strategy for the thermal management of electronic devices. Although various studies …
Predicting the performance of organic solvent reverse osmosis membranes using artificial neural network and principal component analysis by considering solvent …
The prediction of organic solvent reverse osmosis (OSRO) performance is challenging
because of the numerous variables influencing the process. Therefore, applying a machine …
because of the numerous variables influencing the process. Therefore, applying a machine …
[HTML][HTML] Experimental optimization of various heat sinks using passive thermal management system
Organic phase change materials are extensively researched for passive cooling of
electronic components due to the high heat of fusion, however, owing to the issue of thermal …
electronic components due to the high heat of fusion, however, owing to the issue of thermal …
A physics-driven and machine learning-based digital twinning approach to transient thermal systems
Purpose In this study, the authors propose a novel digital twinning approach specifically
designed for controlling transient thermal systems. The purpose of this study is to harness …
designed for controlling transient thermal systems. The purpose of this study is to harness …
Adaptive active fault-tolerant dynamic surface load following controller for a modular high-temperature gas-cooled reactor
The control of nuclear reactors is one of the most challenging requirements in performing the
load following operation mode; however, most of the previous studies either do not consider …
load following operation mode; however, most of the previous studies either do not consider …
[HTML][HTML] Overview of Recent Solar Photovoltaic Cooling System Approach
In recent years, research communities have shown significant interest in solar energy
systems and their cooling. While using cells to generate power, cooling systems are often …
systems and their cooling. While using cells to generate power, cooling systems are often …
Nanofluids, turbulators, and novel working fluids for heat transfer processes and energy applications: Current status and prospective
It is urgent to turn to the broader utilization of renewable energies instead of fossil fuels to
effectively tackle this widely recognized challenge of transition to sustainable energy. The …
effectively tackle this widely recognized challenge of transition to sustainable energy. The …
Performance analysis of reinforcement learning algorithms on intelligent closed-loop control on fluid flow and convective heat transfer
This paper investigates the performance of several most popular deep reinforcement
learning (DRL) algorithms applied to fluid flow and convective heat transfer systems …
learning (DRL) algorithms applied to fluid flow and convective heat transfer systems …
Predicting the performance of a heat sink utilized with an energy storage unit using machine learning approach
Abstract Combining Heat Sink with Energy Storage Material (HS-ESM) is an innovative
method in the thermal management of electronic devices. The configuration of the HS-ESM …
method in the thermal management of electronic devices. The configuration of the HS-ESM …
Research on temperature field prediction method in an aero-engine combustor with high generalization ability
X Wang, C Kong, M Ren, A Li, J Chang - Applied Thermal Engineering, 2024 - Elsevier
Using the inlet flow parameters to get the temperature field of the aero-engine combustor
can help researchers quickly learn about the combustion state of the combustor, which is …
can help researchers quickly learn about the combustion state of the combustor, which is …