Application of machine learning for thermal exchange of dissipative ternary nanofluid over a stretchable wavy cylinder with thermal slip

This article explores the enhancement of thermal exchange in a dissipative Triple-nanoparticle (Al2O3+CuO+Cu) hybrid fluid over a stretchable wavy cylindrical surface with slip effect, incorporating Python bvp algorithm with artificial intelligence AI analysis of numerical results. The stochastic AI...

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Hlavní autoři:	Hamid Qureshi, Amjad Ali Pasha, Zahoor Shah, Muhammad Asif Zahoor Raja, Salem Algarni, Talal Alqahtani, Kashif Irshad, Waqar Azeem Khan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2024-08-01
Edice:	Case Studies in Thermal Engineering
Témata:	Artificial intelligence Levenberg-marquardt algorithm Nanofluids Velocity slip Neural network. tri-nano fluid flow in radiated channels (THFRC)
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2214157X24006300
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