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Model based in neural networks for the prediction of the mass transfer coefficients in bubble columns. Study in Newtonian and non-Newtonianian fluids

โœ Scribed by E. Alvarez; J.M. Correa; C. Riverol; J.M. Navaza


Book ID
108456636
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
213 KB
Volume
27
Category
Article
ISSN
0735-1933

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Theoretical prediction of volumetric mas
โœ Y. Kawase; B. Halard; M. Moo-Young ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 845 KB

A theoretical model for volumetric mass transfer coefficients in bubble columns has been developed. It is based on Higbie's penetration theory and Kolmogoroff's theory of isotropic turbulence. The capability of the proposed model is discussed in the light of experimental data obtained from a 40-L bu