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The next best was the new phenomenological correlation with a mean deviation of 26.2%.
A total of 366 data points were predicted with a mean deviation of 8.1%.
The new empirical correlation performed best with a mean deviation of 16.2%.
The description method of water bridge shape is presented and compared with experimental data, including the description method of contact line with mean deviation of 2.2%, and the description method of contact angles with mean deviation of 6.1%.
The proposed heat transfer correlation can describe 91% of the test data within ±15% with a mean deviation of 6.98% while the proposed friction correlation can describe 85% of the database within ±15% with a mean deviation of 8.82%.
It is found that the correlation of Gungor and Winterton has the highest precision, with a mean deviation of ±15.75%.
The present model yielded a good correlation with the measured heat transfer rate, demonstrating a mean deviation of 6.8%.
Kandlikar's correlation is appropriate to characterize the experimental boiling heat transfer coefficients with a mean deviation of ±12.56%.
Therefore, the Carman equation is modified to fit the experimental data with the mean deviation of 4%.
The new correlation has a mean deviation of 16.8% for this collected databank, smallest among all tested correlations.
(a) Historical mean volumetric distribution of sea-water in salinity anomaly (with respect to the global mean salinity) space (m3/pss; colours: CMIP5; black: En4 observations); Bars show the mean deviation of salinity (W; pss).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com