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Using artificial neural networks to predict the rheological behavior of non-Newtonian graphene–ethylene glycol nanofluid |
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| Authors: | Ibrahim Muhammad Saeed Tareq Alshehri Ahmed Mohammed Chu Yu-Ming |
| Institution: | 1.School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, People’s Republic of China ;2.Nonlinear Analysis and Applied Mathematics (NAAM)-Research Group, Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah, 21589, Saudi Arabia ;3.Department of Mathematics, Huzhou University, Huzhou, 313000, People’s Republic of China ;4.Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Changsha, 410114, People’s Republic of China ; |
| Abstract: | Journal of Thermal Analysis and Calorimetry - The ability of the artificial neural network (ANN) to predict the viscosity of graphene nanosheet/ethylene glycol ( $$\mu_{{\text{Gr/EG}}}$$ ) was... |
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