| Autor: |
Mohammad Hemmat Esfe, Ali Alirezaie, Davood Toghraie |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Journal of Materials Research and Technology, Vol 14, Iss , Pp 1754-1760 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2238-7854 |
| DOI: |
10.1016/j.jmrt.2021.07.033 |
| Popis: |
In the present study, the thermal conductivity (knf) of hybrid nanofluids containing SWCNT and Fe3O4 nanoparticles with a ratio of 40%–60% in ethylene glycol base fluid was investigated in the laboratory and performance analysis. The knf of hybrid prepared nanofluids was measured using KD2 device with the error of 5%. Then, the price-performance analysis of the nanofluid was performed to evaluate the performance and efficiency of the present nanofluids and mono nanofluids (SWCNT/ethylene glycol). Then, using artificial neural network (ANN), experimental data are modeled and estimated in terms of temperature and volume fraction of nanoparticles (ϕ). Sensitivity analysis of experimental data was also performed to slope the knf changes to determine the best temperature and ϕ for nanofluid operation. Experimental data show that nanofluids with ϕ=1% show more than 40% increase in knf. Price-performance analysis that presented to provide capability in energy management shows that the use of hybrid nanofluids can be more economical than the cost of mono nanofluids. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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