Predicting the density of carbon-based nanomaterials in diesel oil through computational intelligence methods
The density of nanofluid is a crucial property in heat transfer applications, and it is important in the determination of various heat transfer parameters such as the Reynolds number, Nusselt number, the friction factor, and the pressure loss. Unlike thermal conductivity and viscosity of nanofluids,...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Akadémiai Kiadó
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/102831/ https://link.springer.com/article/10.1007/s10973-021-11124-3?error=cookies_not_supported&code=073d623c-9d64-4bc3-a81d-ab37491ae84b |
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