Prediction values from the correlations and experimental values fit reasonably well.
The most significant source of property uncertainties on process design comes from the correlations of mixture phase equilibrium.
The involved parameters, such as shear and velocity slip factors and Ergun single-phase flow bed constants, are calculated from the correlations developed via neural network regression.
In this presentation, we show that the Hall effect of the unconventional superconductor BaFe2(As1−xPx)2 contains an anomalous contribution arising from the correlations within the strange metal.
The kinetic constants obtained from the correlations were used for the simulation of the dependences of the current density and the surface coverages on overpotential.
To validate the newly proposed correlations, experiments are conducted for radial plate fin heat sinks with various geometries, and the results from the correlations are in close agreement with those from the experiments.
Different from the correlations in the room-temperature refrigeration system, the pressure at the outlet of the capillary tube should be considered in correlation for mixed-refrigerants because the critical condition was not reached.
The two-phase frictional multiplier may be positively correlated with the mean void fraction in the channel linearly, and the data agree well with predictions from the correlations in the literature.
As a result, the values obtained from the correlations are not exact, and it is possible to obtain two different answers from two different correlations for the same problem.
A good agreement was found between the measured values of the liquid holdup and pressure drop of gas/liquid pipe flow and those obtained from the correlations introduced in this paper.
This pattern is different from the correlations resulting from our analysis of the bulk granules (Tables 3 and 4, Figure 4a).
