Machine learning-based CFD simulations: a review, models, open threats, and future tactics

D Panchigar, K Kar, S Shukla, RM Mathew… - Neural Computing and …, 2022 - Springer
This review targets various scenarios where CFD could be used and the logical parts
needed for exemplary computations. The machine learning aspect with algorithms that have …

[HTML][HTML] Critical review on thermohydraulic performance enhancement in channel flows: A comparative study of pin fins

A Ravanji, A Lee, J Mohammadpour… - … and Sustainable Energy …, 2023 - Elsevier
Effective thermal management is critical for optimising device performance, extending
product longevity, saving energy, protecting the environment, and avoiding thermal failures …

[HTML][HTML] Predictive deep learning for pitting corrosion modeling in buried transmission pipelines

B Akhlaghi, H Mesghali, M Ehteshami… - Process Safety and …, 2023 - Elsevier
Despite significant efforts and investments in the renewable energy sector, fossil fuels
continue to provide the majority of the world's energy supply. Transmission pipelines, which …

Heat and mass transfer of Ag–H2O nano-thin film flowing over a porous medium: A modified Buongiorno's model

F Wang, AM Saeed, V Puneeth, NA Shah… - Chinese Journal of …, 2023 - Elsevier
Due to their numerous applications, such as fibre and wire coating, polymer preparation,
etc., thin films have recently come into focus in the analysis of heat and mass transport. As a …

A computational study on nanofluid impingement jets in thermal management of photovoltaic panel

J Mohammadpour, F Salehi, M Sheikholeslami, A Lee - Renewable Energy, 2022 - Elsevier
Thermal management is essential to improve the overall performance of photovoltaic (PV)
cells. This study presents a comprehensive numerical study on a PV panel to achieve …

Enhancing performance of nanofluid mini-channel heat sinks through machine learning and multi-objective optimization of operating parameters

Q Wang, S Zhang, Y Zhang, J Fu, Z Liu - … Journal of Heat and Mass Transfer, 2023 - Elsevier
The improvement in the performance of power systems in new energy vehicles has posed
new demands for the performance of thermal management systems, leading to an increased …

Machine learning based surrogate models for microchannel heat sink optimization

A Sikirica, L Grbčić, L Kranjčević - Applied Thermal Engineering, 2023 - Elsevier
Microchannel heat sinks are an efficient cooling method for semiconductor packages.
However, to properly cool increasingly complex and thermally dense circuits, microchannel …

Investigation of double-layered wavy microchannel heatsinks utilizing porous ribs with artificial neural networks

Ö Bayer, SB Oskouei, S Aradag - International Communications in Heat and …, 2022 - Elsevier
Microchannel heatsinks with porous media, wavy and multi-layered configurations introduce
compact designs and high efficiencies in cooling applications. Current Computational Fluid …

[HTML][HTML] Thermal management of an asymmetrical wavy microchannel heat sink via Ag/water nanofluid

HA Amiri, F Afsharpanah, S Moshafi, S Asiaei - Case Studies in Thermal …, 2024 - Elsevier
The ever-increasing demand for electronic systems to enhance their performance and
processing speed has exponentially increased their heat generation, especially those …

Heat transfer and fluid flow characteristics of a microchannel heat sink with microplates-A critical computational study

A Manoj, UV Goddumarri, A Rajalingam… - Applied Thermal …, 2023 - Elsevier
High-performance and miniaturized modern electronic devices demand a high value of heat
dissipation. The compactness of Microchannel Heat Sinks (MCHS) and other favourable …