Measurements of density and viscosity of carbon dioxide-loaded and -unloaded nano-fluids: Experimental, genetic programming and physical interpretation approaches
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- @Article{BAHADORI:2024:ceja,
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author = "Mohammad Keshavarz Bahadori and Mohammad Shokouhi and
Reza Golhosseini",
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title = "Measurements of density and viscosity of carbon
dioxide-loaded and -unloaded nano-fluids: Experimental,
genetic programming and physical interpretation
approaches",
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journal = "Chemical Engineering Journal Advances",
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volume = "18",
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pages = "100600",
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year = "2024",
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ISSN = "2666-8211",
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DOI = "doi:10.1016/j.ceja.2024.100600",
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URL = "https://www.sciencedirect.com/science/article/pii/S2666821124000188",
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keywords = "genetic algorithms, genetic programming, Density,
Viscosity, Si-zif-8, Super activated carbon,
Nano-fluid",
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abstract = "In the present study, the density and viscosity of the
CO2-loaded and -unloaded base solution and nano-fluid
were experimentally measured and investigated from an
intermolecular point of view. Nano-fluids are composed
of nano-particles such as Al2O3 (0.1 wt.percent),
Silica-2-methylimidazole, zinc salt (Si-ZIF-8) (0.02
wt.percent), and super activated carbon (SAC) (0.1
wt.percent) dispersed in aqueous and hybrid Methyl
diethanolamine context (MDEA, 40 wt.percent) +Sulfolane
(SFL), 30 wt.percent) +H2O) Experimental measurements
were carried out at the low-temperature ranges
303.15-315.15 K, atmospheric pressure, and three
different CO2 loadings. The results show that
nanomaterials do not have a significant effect on the
density and viscosity of the unloaded suspension;
however, the density and viscosity of loaded
suspensions and base solvent become more by increasing
CO2 concentration. In the case of CO2-loaded fluids,
the comparison of the results in the presence and
absence of nanoparticles shows that the density of the
solution is not much different in the two cases, but
the viscosity of CO2-loaded in Si-ZIF-8, SAC, and
gamma-Al2O3 base nano-fluids in comparison with base
solvent shows an increase of 35 percent in high CO2
loading, ~0.3 mol CO2 per mol MDEA. Density and
viscosity experimental data were modeled using the
Genetic Programming approach. The highest values of
absolute average relative deviation (AARD) and root
mean square error (RMSE) parameters obtained for
modeling data are 3.04 and 0.317, respectively, and the
lowest value of regression coefficient (R2) is 0.995,
which indicates the appropriate fitting of the
results",
- }
Genetic Programming entries for
Mohammad Keshavarz Bahadori
Mohammad Shokouhi
Reza Golhosseini
Citations