Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications-Reference-Cited by-同舟云学术

Artificial neural network analysis of the flow of nanofluids in a variable porous gap between two inclined cylinders for solar applications

Published:2024-04-23 Issue:1 Volume:18 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Alotaibi Abdulaziz¹,Gul Taza²³,Saleh Alotaibi Ibrahim Mathker⁴,Alghuried Abdullah¹,Alshomrani Ali Saleh⁵,Alghuson Moahd¹

Affiliation:

1. Department of Industrial Engineering, Faculty of Engineering, University of Tabuk, Tabuk, Saudi Arabia

2. DoST, Directorate General of Science & Technology, Peshawar, Pakistan

3. Department of Mathematics, City University of Science and Information Technology, Peshawar, Pakistan

4. Department of Law, University of Tabuk, Tabuk, Saud Arabia

5. Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

King Abdulaziz University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2024.2343418

Reference35 articles.

1. MHD Williamson nanofluid flow in the rheology of thermal radiation, Joule heating, and chemical reaction using the Levenberg–Marquardt neural network algorithm;Ali A.;Frontiers in Energy Research,2022

2. Stagnation point nanofluid flow in a variable darcy space subject to thermal convection using artificial neural network technique;Alnahdi A. S.;Arabian Journal for Science and Engineering,2024

3. A facile one pot synthesis of highly stable PVA–CuO hybrid nanofluid for heat transfer application

4. Nanomaterials: a review of synthesis methods, properties, recent progress, and challenges

5. Non-Darcy hydromagnetic free convection from a cone and a wedge in porous media

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