Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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QV13R
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Neural Networks and Rules-based Systems used to Find Rational and
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In this paper, the mixed natural-forced convection is experimentally investigated for the heat-transfer oil-copper oxide (HTO-CuO) nanofluid flows upward in a vertical tube. The flow regime is laminar and the temperature of the tube surface is constant. The effect of the nanoparticles concentration on the heat transfer rate and the pressure dropare studied as Richardson number varies between 0.1 and 0.7. It is observed that the mixed convective heat transfer rate increases with both the nanoparticles concentration and Richardson number. New correlations are proposed to predict the Nusselt number of the nanofluid flow with the reasonable accuracy. In addition, Darcy friction factor of the nanofluid flow is investigated and a new correlation is presented to evaluate the friction factor of HTO-CuO nanofluid flow in vertical tubes.
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