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A systematic approach to optimization of ANN model parameters to predict flow boiling heat transfer coefficient in mini/micro-channel heatsinks
Flow boiling in mini/micro-channel heatsinks is often utilized to meet the high heat
dissipation requirements of thermal management systems. However, accurate prediction of …
dissipation requirements of thermal management systems. However, accurate prediction of …
Interpretable knowledge-guided framework for modeling minimum miscible pressure of CO2-oil system in CO2-EOR projects
Carbon dioxide enhanced oil recovery (CO 2-EOR) is a promising application for carbon
capture, utilization and storage (CCUS). Accurate modeling of CO 2-oil minimum miscible …
capture, utilization and storage (CCUS). Accurate modeling of CO 2-oil minimum miscible …
Assessment of machine learning models and conventional correlations for predicting heat transfer coefficient of liquid hydrogen during flow boiling
Liquid hydrogen has attracted widespread attention due to industrial decarbonization as an
excellent carrier of renewable energy accommodation. Accurate prediction of the heat …
excellent carrier of renewable energy accommodation. Accurate prediction of the heat …
Unveiling the fundamentals of flow boiling heat transfer enhancement on structured surfaces
Micro-and nanostructured surfaces offer the potential to enhance two-phase heat transfer.
However, the mechanisms behind these enhancements are not well-understood due to …
However, the mechanisms behind these enhancements are not well-understood due to …
Prediction of pressure evolution in non-venting self-pressurized liquid hydrogen tanks using artificial neural network approach
Liquid hydrogen (LH 2) is a future energy carrier compared to most conventional fuels. One
of the practical bottlenecks in non-venting LH 2 tanks is to accurately predict the pressure …
of the practical bottlenecks in non-venting LH 2 tanks is to accurately predict the pressure …
A universal ANN-based approach predicting PCHEs' off-design performance across various operating conditions of sCO2 RCBCs
This paper proposes a universal approach that employs artificial neural networks (ANN) to
predict the off-design performance of printed circuit heat exchangers (PCHEs) using …
predict the off-design performance of printed circuit heat exchangers (PCHEs) using …
Experimental study and correlation analysis of breakup characteristics of liquid nitrogen jets
Y Yang, K Cen, M Li, C Zhao, Y Wang, Y Wei… - … Thermal and Fluid …, 2025 - Elsevier
Liquid nitrogen (LN 2) has garnered increasing attention due to its potential applications in
various fields. When the LN 2 jet is accidentally released into an environment with a lower …
various fields. When the LN 2 jet is accidentally released into an environment with a lower …
Development of correlations for steam condensation over a vertical tube in the presence of noncondensable gas using machine learning approach
J Tang, S Yu, H Liu - International Journal of Heat and Mass Transfer, 2023 - Elsevier
Steam condensation is an important phenomenon encountered in nuclear reactor under
severe accidents. Even though many correlations for predicting steam condensation heat …
severe accidents. Even though many correlations for predicting steam condensation heat …
Prediction of heat transfer of bubble condensation in subcooled liquid using machine learning methods
J Tang, S Yu, C Meng, H Liu, Z Mo - Chemical Engineering Science, 2023 - Elsevier
Owning to the complex behaviors of phase change, precise modeling of bubble
condensation is challenging. In this study, nine machine learning (ML) methods were …
condensation is challenging. In this study, nine machine learning (ML) methods were …
Maximizing heat transfer potential with graphene nanofluids along with structured copper surfaces for pool boiling
Increasing the demand and depletion of energy sources confront every technological
development with energy conversation and its utilization. Boiling heat transfer is the most …
development with energy conversation and its utilization. Boiling heat transfer is the most …