Neural network architecture to optimize the nanoscale thermal transport of ternary magnetized Carreau nanofluid over 3D wedge-Reference-Cited by-同舟云学术

Neural network architecture to optimize the nanoscale thermal transport of ternary magnetized Carreau nanofluid over 3D wedge

Published:2024-04 Issue: Volume:59 Page:107616
ISSN:2211-3797
Container-title:Results in Physics
language:en
Short-container-title:Results in Physics

Author:

Alqudah Mohammad,Zahir Hussain Shah Syed,Bilal Riaz Muhammad,Abd El-Wahed Khalifa Hamiden,Akgül Ali,Ayub Assad

Funder

Ministerstvo Školství, Mládeže a Tělovýchovy

VSB–Technical University of Ostrava

Publisher

Elsevier BV

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3. Influence of MoS2 based nanofluid-MQL on tribological and machining characteristics in turning of AA 2024 T3 aluminum alloy;Yücel;J Mater Res Technol,2021

4. Fluid flow and heat transfer analysis of a ternary aqueous Fe3O4+ MWCNT+ Cu/H2O magnetic nanofluid in an inclined rectangular porous cavity;Thirumalaisamy;J Magn Magn Mater,2024

5. Mohamed MMI, Amjad MS. Effectiveness of melting phenomenon in two phase dusty carbon nanotubes (Nanomaterials) flow of Eyring-Powell fluid: Heat transfer analysis.

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