An artificial neural network for prediction of gas holdup in bubble columns with oily solutions

Neural Computing and Applications

Volumn 20, Issue 4, 2011, Pages 487-494

  Amiri, Sahar ^a   Mehrnia, Mohammad Reza ^a   Barzegari, Davood ^a   Yazdani, Aryan ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Artificial neural network (ANN); Bubble column reactor; Liquid properties; Oil based liquids; Total gas holdup

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BUBBLE COLUMN REACTOR; LIQUID PROPERTIES; OIL-BASED LIQUIDS; TOTAL GAS HOLDUP;

BUBBLE COLUMNS; BUBBLE FORMATION; GASES; LIQUIDS;

NEURAL NETWORKS;

EID: 79955788161     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0566-x     Document Type: Article

References (27)

1. Camarasa E, Vial C, Wild G, Midoux N, Bouillard J (1999) Influence of coalescence behavior of liquid and of gas sparging on hydrodynamics and bubble characteristics in a bubble column. Chem Eng Proc 38: 329-344.
2. Kastanek F, Zahradnik J, Kratochvil J, Cermak J (1983) Chemical reactors for gas-liquid systems. Ellis Horwood, New York.
3. Deckwer WD, Schumpe A (1993) Improved tools for bubble column reactor design and scale-up. Chem Eng Sci 48(5): 889-911.
4. Delnoij E, Lammers F, Kuipers J, van Swaaij W (1997) Dynamic simulation of dispersed gas-liquid two-phase flow using a discrete bubble model. Chem Eng Sci 52: 1429-1458.
5. Mudde RF (2005) Gravity-driven bubbly flows. Annual Rev Fluid Mec 37: 393-423.
6. Sikun X, Yuhui Q, Chaouki J, Guy C (2005) Characterization of homogeneity of bubble flows in bubble columns using RPT and fiber optics. Int J Chem React Eng 3: Article A54.
7. Homayouni SS, Mehrnia MR, Mostoufi N, Rajabi M, Yazdani A (2008) Bubble size distribution in oil-based bubble columns. Chem Eng Technol 31(11): 1668-1675.
8. Krishna R, Urseanu MI, van Batten JM, Ellenberger J (1999) Influence of scale on the hydrodynamics of bubble columns operating in the churn-turbulent regime: experiments vs. Eulerian simulations. Chem Eng Sci 54: 4903-4911.
9. Lorenz O, Schumpe A, Ekambara K, Joshi JB (2005) Liquid phase axial mixing in bubble columns operated at high pressures. Chem Eng Sci 60: 3573-3586.
10. Yang N, Chen J, Ge W, Li J (2010) A conceptual model for analyzing the stability condition and regime transition in bubble columns. Chem Eng Sci 65(1): 517-526.
11. Mehrnia MR, Towfighi J, Bonakdarpour B, Akbarnejad MM (2005) Gas hold-up and oxygen transfer in a draft-tube airlift bioreactor with petroleum-based liquids. Biochem Eng J 22: 105-110.
12. Pfleger D, Gomes S, Gilbert N, Wagner HG (1999) Hydrodynamic simulations of laboratory scale bubble columns fundamental studies of the Eulerian-Eulerian modeling approach. Chem Eng Sci 54: 5091-5099.
13. Thakre SS, Joshi JB (1999) CFD simulation of bubble column reactors: importance of drag force formulation. Chem Eng Sci 54: 5055-5060.
14. Ripley BD (1996) Pattern recognition and neural networks. Cambridge University Press, Cambridge.
15. Bhat N, McAvoy TJ (1990) Use of neural nets for dynamic modeling and control of chemical process systems. Comput Chem Eng 14(4/5): 573-583.
16. Pollia M, Stanislaoa MD, Bagatinb R, Abu Bakra E (2002) Bubble size distribution in the sparger region of bubble columns. Chem Eng Sci 57(1): 197-205.
17. Leib TM, Mills PL, Lerou JJ, Turner JR (1995) Evaluation of neural networks for simulation of three phase bubble column reactors. Trans IChemE 73: 690-696.
18. Nakajima Y, Kikuchi R, Tsutsumi A, Otawara K (2001) Nonlinear modeling of chaotic dynamics in a circulating fluidized bed by an artificial neural network. J Chem Eng Jpn 34(2): 107-113.
19. Alvarez E, Corea JM, Riverol C, Navaza JM (2000) Model based in neural networks for the prediction of the mass transfer coefficients in bubble columns. Study in Newtonian and non-Newtonianian fluids. Int Comm Heat Mass Transfer 27(1): 93-98.
20. AL-Masry WA (2006) Analysis of hydrodynamics of external loop circulating bubble columns with open channel gas separators using neural networks. Chem Eng Res Des 84(6): 483-486.
21. Lin HY, Chen W, Tsutsumi A (2003) Long-term prediction of nonlinear hydrodynamics in bubble columns by using artificial neural networks. Chem Eng Proc 42(8-9): 611-620.
22. Shaikh A, Al-Dahhan M (2003) Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors. Chem Eng Proc 42(8-9): 599-610.
23. Baawain MS, Gamal El-Din M, Smith DW (2007) Artificial neural networks modeling of ozone bubble columns: mass transfer coefficient, gas hold up, and bubble size. Ozone: Sci Eng 29: 343-352.
24. Yazdani A (2007) Hydrodynamic behavior of bubble column with oily solutions, M. Sc. thesis, University of Tehran, Iran.
25. Mouza AA, Dalakoglou GK, Paras SV (2005) Effect of liquid properties on the performance of bubble column reactors with fine pore spargers. Chem Eng Sci 60(5): 1465-1475.
26. Kazakis NA, Papadopoulos SV, Mouza AA (2007) Bubble columns with fine pore sparger operating in the pseudo-homogeneous regime: gas hold up prediction and a criterion for the transition to heterogeneous regime. Chem Eng Sci 62: 3092-3103.
27. El Ouahed AK, Tiab D, Mazouzi A (2005) Application of artificial intelligence to characterize naturally fractured zones in Hassi Messaoud Oil Field, Algeria. J Pet Sci Eng 49: 122-141.