An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression
This study presents a novel strategy based on Bayesian support vector regression for the estimation of the specific heat capacity of nitrides/ethylene glycol-based nanofluid. The nanoparticles considered are aluminium nitride (AlN), silicon nitride (Si3N4) and titanium nitride (TiN). The proposed mo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87815/ http://psasir.upm.edu.my/id/eprint/87815/1/ABSTRACT.pdf |
| _version_ | 1848860505595183104 |
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| author | Alade, Ibrahim Olanrewaju Abd Rahman, Mohd Amiruddin A. Saleh, Tawfik |
| author_facet | Alade, Ibrahim Olanrewaju Abd Rahman, Mohd Amiruddin A. Saleh, Tawfik |
| author_sort | Alade, Ibrahim Olanrewaju |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study presents a novel strategy based on Bayesian support vector regression for the estimation of the specific heat capacity of nitrides/ethylene glycol-based nanofluid. The nanoparticles considered are aluminium nitride (AlN), silicon nitride (Si3N4) and titanium nitride (TiN). The proposed model was built using simple and easy-to-obtain inputs such as the size of the nanoparticles (20, 30, 50, and 80 nm), the molar mass of the nanoparticles, mass fraction of nanoparticles (0.01 - 0.1) and the temperature (288.15 K, 298.15 K, and 308.15 K). Our suggested model showed better prediction accuracy over the analytical models for the estimation of specific heat capacity of nitrides/ethylene glycol nanofluids. Given the simplicity of the model inputs and the accuracy of the model, the approach presented provides a more reliable prediction of specific heat capacity of nitrides-ethylene glycol-based nanofluids than previous models. |
| first_indexed | 2025-11-15T12:46:18Z |
| format | Article |
| id | upm-87815 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:46:18Z |
| publishDate | 2020 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-878152022-06-07T06:52:27Z http://psasir.upm.edu.my/id/eprint/87815/ An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression Alade, Ibrahim Olanrewaju Abd Rahman, Mohd Amiruddin A. Saleh, Tawfik This study presents a novel strategy based on Bayesian support vector regression for the estimation of the specific heat capacity of nitrides/ethylene glycol-based nanofluid. The nanoparticles considered are aluminium nitride (AlN), silicon nitride (Si3N4) and titanium nitride (TiN). The proposed model was built using simple and easy-to-obtain inputs such as the size of the nanoparticles (20, 30, 50, and 80 nm), the molar mass of the nanoparticles, mass fraction of nanoparticles (0.01 - 0.1) and the temperature (288.15 K, 298.15 K, and 308.15 K). Our suggested model showed better prediction accuracy over the analytical models for the estimation of specific heat capacity of nitrides/ethylene glycol nanofluids. Given the simplicity of the model inputs and the accuracy of the model, the approach presented provides a more reliable prediction of specific heat capacity of nitrides-ethylene glycol-based nanofluids than previous models. Elsevier 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/87815/1/ABSTRACT.pdf Alade, Ibrahim Olanrewaju and Abd Rahman, Mohd Amiruddin and A. Saleh, Tawfik (2020) An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression. Journal of Energy Storage, 29. art. no. 101313. pp. 1-10. ISSN 2352-152X https://www.sciencedirect.com/science/article/pii/S2352152X19316792 10.1016/j.est.2020.101313 |
| spellingShingle | Alade, Ibrahim Olanrewaju Abd Rahman, Mohd Amiruddin A. Saleh, Tawfik An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title | An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title_full | An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title_fullStr | An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title_full_unstemmed | An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title_short | An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| title_sort | approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression |
| url | http://psasir.upm.edu.my/id/eprint/87815/ http://psasir.upm.edu.my/id/eprint/87815/ http://psasir.upm.edu.my/id/eprint/87815/ http://psasir.upm.edu.my/id/eprint/87815/1/ABSTRACT.pdf |