The o
bjective of this study was to develop a unified correlation for the volumetric mass-transfer coefficient (
kb>Lb>
a) and effective interfacial area (
a) in
bu
bble columns for various gas−liquid systems using support vector regression (SVR-)
based modeling technique. From the data pu
blished in the open literature, 1600 data points from 27 open sources spanning the years 1965−2007 for
kb>Lb>
a and 1330 data points from 28 open sources spanning the years 1968−2007 for
a were collected. Generalized SVR-
based models were developed for the relationship
between
kb>Lb>
a (and
a) and each design and operating parameters such as column and sparger geometry, gas−liquid physical properties, operating temperature, pressure, superficial gas velocity, and so on. Further, these models for
kb>Lb>
a and
a are availa
ble online at
b/UICT-NCL" class="extLink">http://www.esnips.com/web/UICT-NCL. The proposed generalized SVR-
based correlations for
kb>Lb>
a and
a have prediction accuracies of 99.08% and 98.6% and average a
bsolute relative errors (AAREs) of 7.12% and 5.01%, respectively. Also, the SVR-
based correlation provided much improved predictions compared to those o
btained using empirical correlations from the literature.