Reliable prediction of heat transfer coefficient in three-phase bubble column reactor via adaptive neuro-fuzzy inference system and regularization network-Reference-Cited by-同舟云学术

Reliable prediction of heat transfer coefficient in three-phase bubble column reactor via adaptive neuro-fuzzy inference system and regularization network

Published:2018-04-12 Issue:10 Volume:54 Page:2975-2986
ISSN:0947-7411
Container-title:Heat and Mass Transfer
language:en
Short-container-title:Heat Mass Transfer

Author:

Garmroodi Asil A.,Nakhaei Pour A.,Mirzaei Sh.

Publisher

Springer Science and Business Media LLC

Subject

Fluid Flow and Transfer Processes,Condensed Matter Physics

Link

http://link.springer.com/article/10.1007/s00231-018-2332-4/fulltext.html

Reference36 articles.

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2. Vandu C, Krishna R (2004) Volumetric mass transfer coefficients in slurry bubble columns operating in the churn-turbulent flow regime. Chem Eng Process Process Intensif 43(8):987–995

3. Alvarez E, Correa J, Navaza J, Riverol C (2001) Theoretical prediction of the mass transfer coefficients in bubble columns operating in churn-turbulent flow regime. Study in Newtonian and non-Newtonian fluids under different operation conditions. Heat Mass Transf 37:343–350

4. Pour AN, Housaindokht MR (2013) Study of activity, products selectivity and physico-chemical properties of bifunctional Fe/HZSM-5 Fischer–Tropsch catalyst: Effect of catalyst shaping. J Nat Gas Sci Eng 14:29–33

5. Pour AN, Housaindokht MR (2014a) Studies on product distribution of nacrostructure iron catalyst in Fischer–Tropsch synthesis: effect of catalyst particle size. Ind Eng Chem Res 20(2):591–596

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