Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine learning validations of D3Q27 MRT-LBM

Elucidating thermal phenomena of non-Newtonian experimental data based copper-alumina-ethylene glycol hybrid nanofluid in a cubic enclosure with central heated plate by machine learning validations of D3Q27 MRT-LBM

One of the major challenges in designing an efficient heating and cooling equipment is the consideration and availability of cost-effective fluids. The potential of hybrid nanofluid to replace oil and water in heat exchanging devices has been studied. However, further research is still required to o...

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Detalles Bibliográficos
Main Authors: Md. Mamun Molla, Md Farhad Hasan, Md. Mahadul Islam
Formato: Artigo
Idioma:English
Publicado: Elsevier 2025-03-01
Series:International Journal of Thermofluids
Subjects:
MRT-LBM
GPU computing
Power-law non-Newtonian hybrid nanofluid
Cubic cavity
Central heated plate
Machine learning
Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2666202724004725

Internet

http://www.sciencedirect.com/science/article/pii/S2666202724004725

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