Peer-Reviewed Publication
MethodsX2026;17104121.December 1, 2026Journal Article
Design optimization and thermal analysis of C₂H₆O₂ hybrid nanofluid flow over solar plate under solar radiation using artificial neural network.
Mohamed Abbas El-Naggar1,2, Ahmed Najat Ahmed3, Mustafa Inc4,5, Abdulbasit A Darem6, Munawar Abbas4, Farkhod Alisherov7, Saba Liaqat8, Mohammad Saqlain Sajjad9
1Department of General Subjects, University of Business and Technology, Jeddah, 21361, Saudi Arabia.
2Chemical Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
3Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Erbil, Iraq.
4Department of Mathematics, Firat University, Elazig, 23119, Turkey.
5Department of Mathematics, Khazar University, Baku AZ1096, Azerbaijan.
6Center for Scientific Research and Entrepreneurship, Northern Border University, Arar, 73213, Saudi Arabia.
7School of Exact Sciences, National Pedagogical University of Uzbekistan named after Nizami, Tashkent, Uzbekistan.
8Department of Computer Engineering, Biruni University, Istanbul, 34010, Turkey.
9Department of Computer Science Knowledge Unit of Science and Technology University of Science and Technology Sialkot, Pakistan.
Abstract
This study, we investigate how solar radiation affects C₂H₆O₂ hybrid nanofluid over solar plate under LTNE (local thermal non-equilibrium effects). This study will be useful for applications pertaining to thermal management, renewable energy technologies, and industrial heating systems. The study of Stefan blowing and solar radiation effects on ethylene glycol-based hybrid nanofluids under LTNE co…
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