Journal
CHEMICAL ENGINEERING JOURNAL
Volume 160, Issue 1, Pages 302-310Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2010.03.026
Keywords
Bubble column; Heat transfer coefficient; Support vector regression
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Funding
- Department of Science and Technology, Govt. of India
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The objective of this study was to develop a unified correlation for heat transfer coefficient (h) in bubble columns without internals for various gas-liquid systems using support vector regression (SVR)-based modeling technique. From the data published in open literature, 366 data points from 10 open sources spanning the years 1976-2007 for h were collected. Generalized SVR-based models have been developed for the relationship between h and prominent design and operating parameters such as column and sparger geometry, gas-liquid thermo-physical properties, operating temperature, pressure, superficial gas velocity, etc. Further, this model for h has been uploaded on the link http://www.esnips.com/web/UICT-NCL The proposed generalized SVR-based correlations for h has prediction accuracies of 98.56% and average absolute relative error (AARE) of 7.05%. Also, the SVR-based correlation showed much improved predictions when compared with those estimated by empirical correlations in the literature. (C) 2010 Elsevier B.V. All rights reserved.
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