Afzal, Asif and Yashawantha, K. M. and Aslfattahi, Navid and Saidur, Rahman * and Abdul Razak, R. K. and Subbiah, Ram (2021) Back propagation modelling of shear stress and viscosity of aqueous Ionic-MXene nanofluids. Journal of Thermal Analysis and Calorimetry, 145. pp. 2129-2149. ISSN 1588-2926
Full text not available from this repository. (Request a copy)Abstract
Back-propagation modeling of viscosity and shear stress of Ionic-MXene nanofluid is carried out in this work. The data for Ionic-MXene nanofluid of 0.05, 0.1, and 0.2 mass concentration (mass%) are collected from the experimental analysis. Shear stress and viscosity as a function of shear rate and mass% of MXene nanoparticles is used as input. Additionally, viscosity as a function of temperature and % of MXene nanoparticles is collected separately. Based on the possible combinations, five back-propagation algorithms are developed. In each algorithm, five models depending upon the number of neurons in the hidden layer are used. The training and testing of all the models in each algorithm are performed. Statistical analysis of the network output is done to evaluate the accuracy of models by finding the losses in terms of mean squared error (MAE), root-mean-squared error, mean absolute error, (MAE), and error deviation. Model 1 is found to have lower accuracy than the remaining models as the number of neurons in its hidden layer is only one. The performance evaluation metrices of the back-propagation model show that the error involved is acceptable. The training and testing of the algorithms are satisfactory as the network output is found to be in comfortably good agreement with the desired experimental output.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | neural networks, shear stress, viscosity, MXene, nanofluids, algorithms |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Sunway University > Faculty of Engineering and Technology [formerly School of Engineering and Technology until 14 November 2025; School of Science and Technology until 2020] > Research Centre for Nano-Materials and Energy Technology |
| Depositing User: | Ms Yong Yee Chan |
| Related URLs: | |
| Date Deposited: | 10 Jul 2026 02:48 |
| Last Modified: | 10 Jul 2026 02:48 |
| URI: | http://repository.sunway.edu.my/id/eprint/3487 |
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