Optimization of elliptical pin-fin microchannel heat sink based on artificial neural network

C Yu, X Zhu, Z Li, Y Ma, M Yang, H Zhang - International Journal of Heat …, 2023 - Elsevier
Conjugate fluid-solid heat transfer in a pin-fin microchannel heat sink is an effective way to
dissipate heat from the heating surface with high heat flux. The introduction of fins increases …

Study on thermal-hydraulic performance of printed circuit heat exchangers with supercritical methane based on machine learning methods

Q Li, Q Zhan, S Yu, J Sun, W Cai - Energy, 2023 - Elsevier
In this study, a machine learning approach was used to predict thermal-hydraulic
performance of supercritical methane flow in a printed circuit heat exchanger (PCHE). Local …

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 …

The application of physics-informed machine learning in multiphysics modeling in chemical engineering

Z Wu, H Wang, C He, B Zhang, T Xu… - Industrial & Engineering …, 2023 - ACS Publications
Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …

A novel insight into the design of perforated-finned heat sinks based on a hybrid procedure: Computational fluid dynamics, machine learning, multi-objective …

SA Abdollahi, A Alenezi, A Alizadeh, DJ Jasim… - … Communications in Heat …, 2024 - Elsevier
The optimal design of heat sinks presents a challenge for engineers. Using longitudinal
perforations is an innovative technique employed in the design of parallel finned heat sinks …

Prediction technique for flow boiling heat transfer and critical heat flux in both microgravity and Earth gravity via artificial neural networks (ANNs)

I Mudawar, SJ Darges, VS Devahdhanush - International Journal of Heat …, 2024 - Elsevier
This study is part of the Flow Boiling and Condensation Experiment (FBCE) and utilizes flow
boiling data collected in both microgravity onboard the International Space Station (ISS) and …

[HTML][HTML] Combining artificial intelligence and computational fluid dynamics for optimal design of laterally perforated finned heat sinks

SA Abdollahi, A Basem, A Alizadeh, DJ Jasim… - Results in …, 2024 - Elsevier
The efficient design of heat sinks is a severe challenge in thermo-fluid engineering. A
creative and innovative way is applying lateral perforations to parallel finned heat sinks. The …

[HTML][HTML] Investigating thermal performance enhancement in perforated pin fin arrays for cooling electronic systems through integrated CFD and deep learning analysis

H Ehsani, FN Roudbari, SS Namaghi, DD Ganji - Results in Engineering, 2024 - Elsevier
Pin fin heat sinks have garnered considerable attention within the realm of thermal
management for high-heat-flux electronics systems. This study advances the understanding …

Heat transfer performance prediction of Taylor–Couette flow with longitudinal slits using artificial neural networks

SL Sun, D Liu, YZ Wang, HB Kim, M Hassan… - Applied Thermal …, 2023 - Elsevier
A numerical analysis is performed to examine the heat transfer performance of turbulence
inside coaxial cylinders with complex slit surfaces. The comparison is conducted for various …

Assessment of machine learning models and conventional correlations for predicting heat transfer coefficient of liquid hydrogen during flow boiling

H Yang, J Wang, J Wen, H **e - International Journal of Hydrogen Energy, 2024 - Elsevier
Liquid hydrogen has attracted widespread attention due to industrial decarbonization as an
excellent carrier of renewable energy accommodation. Accurate prediction of the heat …