A detailed review of pulsating heat pipe correlations and recent advances using Artificial Neural Network for improved performance prediction

FK Kholi, S Park, JS Yang, MY Ha, JK Min - International Journal of Heat …, 2023 - Elsevier
The unique thermal properties and flexible design of pulsating heat pipes (PHP) offer
opportunities for relatively lightweight, low-cost, and reliable phase-change thermal …

Implementation of artificial intelligence in modeling and control of heat pipes: a review

AG Olabi, S Haridy, ET Sayed, MA Radi, AH Alami… - Energies, 2023 - mdpi.com
Heat pipe systems have attracted increasing attention recently for application in various heat
transfer-involving systems and processes. One of the obstacles in implementing heat pipes …

Innovations in pulsating heat pipes: From origins to future perspectives

M Mameli, G Besagni, PK Bansal… - Applied Thermal …, 2022 - Elsevier
Since the early 1990s, the pulsating heat pipe (PHP) has emerged as one of the most
innovative, effective and potentially more convenient passive two-phase heat transfer …

Predicting heat transfer of oscillating heat pipes for machining processes based on extreme gradient boosting algorithm

N Qian, X Wang, Y Fu, Z Zhao, J Xu, J Chen - Applied Thermal Engineering, 2020 - Elsevier
When machining difficult-to-cut materials, a massive heat will generate and then cause
serious thermal damages to both workpiece and cutting tools. Oscillating heat pipes have …

Experimental analysis and transient numerical simulation of a large diameter pulsating heat pipe in microgravity conditions

M Abela, M Mameli, V Nikolayev… - International Journal of …, 2022 - Elsevier
A multi-parametric transient numerical simulation of the start-up of a large diameter
Pulsating Heat Pipe (PHP) specially designed for future experiments on the International …

[HTML][HTML] Prediction of shear capacity of RC beams strengthened with FRCM composite using hybrid ANN-PSO model

TH Nguyen, NL Tran, VT Phan, DD Nguyen - Case Studies in Construction …, 2023 - Elsevier
The aim of this study is to develop a hybrid Artificial Neural Network-Particle Swarm
Optimization (ANN-PSO) model for improving shear strength prediction of reinforced …

A general method to predict the performance of closed pulsating heat pipe by artificial neural network

X Wang, Y Yan, X Meng, G Chen - Applied Thermal Engineering, 2019 - Elsevier
In this paper, a novel predicting model of artificial neural network (ANN), which can be used
for the PHP with different working fluids and wide operational conditions, was proposed for …

Pulsating heat pipes filled with acetone and water under radial rotation conditions: Heat transfer performance and semi-empirical correlation

N Qian, M Marengo, F Jiang, X Chen, Y Fu… - … Communications in Heat …, 2024 - Elsevier
A significant amount of heat can be generated during the operation of rotary machinery,
which degrades its working performance and lifetime. It has been proven that, under radial …

Applications of machine learning methods in modeling various types of heat pipes: a review

MH Ahmadi, R Kumar, MEH Assad, PTT Ngo - Journal of Thermal …, 2021 - Springer
Accurate modeling of heat pipes, as a two-phase thermal medium, is the main goal of
several research works. Since the effective thermal conductivity of the heat pipes is …

Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology–A review and prospective study

Z Wang, X Zhao, Z Han, L Luo, J **ang, S Zheng, G Liu… - Applied Energy, 2021 - Elsevier
A heat pipe (HP) is a passive heat transfer device able to transmit heat a few meters or
several hundred meters away from the heat source without use of external energy. This …