Neural networks simulation of the filtraton of sodium chloride and magnesium chloride solutions using nanofiltration membranes

Chemical Engineering Research and Design

Volumn 85, Issue 4 A, 2007, Pages 417-430

  Darwish, N A ^a   Hilal, N ^b   Al Zoubi, H ^b   Mohammad, A W ^c  

^a KHALIFA UNIVERSITY   (United Arab Emirates)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial neuron networks; Membranes; Nanofiltration; Permeate flux; Rejection

Indexed keywords

ALGORITHMS; CONJUGATE GRADIENT METHOD; NANOFILTRATION MEMBRANES; NEURAL NETWORKS; PRESSURE; SEAWATER; SODIUM CHLORIDE;

CROSS FLOW; PERMEATE FLUX; QUASI-NEWTON PRINCIPLES; REJECTION;

NANOFILTRATION;

ALGORITHMS; CONJUGATE GRADIENT METHOD; NANOFILTRATION; NANOFILTRATION MEMBRANES; NEURAL NETWORKS; PRESSURE; SEAWATER; SODIUM CHLORIDE;

EID: 34247563914     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1205/cherd06037     Document Type: Article

References (42)

1. Al-Sofi, M., Hassan, A., Mustafa, G., Dalvi A. and Kither, M., 1998, Nanofiltration as a means of achieving higher TBT of ≥ 120°C in MSF, Desalination, 118: 123-129.
2. Bandini, S. and Vezzani, D., 2003, Nanofiltration modelling: the role of dielectric exclusion in membrane characterization, Chem Eng Sci, 58: 3303-3326.
3. Bowen, W.R., Jones, M.G., Welfoo, J.S.t. and Yousef, H.N., 2000, Predicting salt rejections at nanofiltration membranes using artificial neural networks, Desalination, 129: 147-162.
4. Bowen, W.R., Jones, M.G. and Yousef, H.N., 1998a, Dynamic ultrafiltration of proteins - a neural network approach, J Membr Sci, 146: 225-235.
5. Bowen, W.R., Jones, M.G. and Yousef, H.N.S., 1998b, Prediction of the rate of crossflow membrane Ultrafiltration of colloids: A neural network approach, Chem Eng Sci, 53: 3793.
6. Bowen, W.R. and Mohammad, A.W., 1998, Diafiltration of dye/salt solution by nanofiltration: prediction and optimization, AlChE J, 44: 1799-1812.
7. Bowen, W.R., Mohammad, A. and Hilal, N., 1997, Characterisation of nanofiltration membranes for predictive purposes use of salts, uncharged solutes and atomic force microscopy, J Membr Sci, 126: 91-105.
8. Bowen, W.R. and Mukhtar, H., 1996, Characterisation and prediction of separation performance of nanofiltration membranes, J Membr Sci, 112: 263-274.
9. Chellam, S. and Taylor, J., 2001, Simplified analysis of contaminant rejection during ground-and surface water nanofiltration under the information collection rule, Water Res, 35: 2460-2474.
10. Delgrange, N., Cabassud, C., Cabassud, M., Durand-Bourlier, L. and Lain, J.M., 1998a, Modelling of ultrafiltration fouling by neural network, Desalination, 118: 213.
11. Delgrange, N., Cabassud, C., Cabassud, M., Durand-Bourlier, L. and Lain, J.M., 1998b, Neural network for prediction of ultrafiltration transmembane pressure - application to drink water, J Membr Sci, 150: 111-123.
12. Diawara, C.K., Lo, S.M., Rumeau, M., Pontie, M. and Sarr, O., 2003, A phenomenological mass transfer approach in nanofiltration of halide ions for a selective defluorination of brackish drinking water, J Membr Sci, 219: 103-112.
13. Dirion, J.L., Ettedgui, B., Cabassud, M., Le Lann, M.V. and Casamatta, G., 1996, Elaboration of a neural network system for semibatch reactor temperature control: an experimental study, Chem Eng Proc, 35: 225-234.
14. Domier, M., Decloux, M., Trystram, G. and Lebert, A., 1995, Dynamic modeling of crossflow microfiltration using neural networks, J Membr Sci, 98: 263-273.
15. Fakhr-Eddine, K., Cabassud, M., Duvemeuil, P., Le Lann, M.V. and Couderc, J.R., 1996, Use of neural networks for LPCVD reactors modelling, Computers Chem Eng, 20: S521-S526.
16. Hagan, M.T., Demuth, H.B. and Beale, M.H., 1996, Neural network design (PWS Published Company, Boston, MA, USA).
17. Hamachi, M., Cabassud, M., Davin, A. and Peuchot, M.M., 1999, Dynamic modelling of crossflow microfiltration of bentonite suspension using recurrent neural networks, Chem Eng Process, 38: 203-210.
18. Hassan, A., Al-So, M., Al-Amoudi, A., Jamaluddin, A., Farooque, A., Rowalli, A., Dalvi, A., Kither, N., Mustafa, G. and Al-Tisan, I., 1998, A new approach to thermal seawater desalination processes using nanofiltration membranes (Part 1), Desalination, 118: 35-51.
19. Hilal, N., Al-Zoubi, H., Darwish, N., Mohammed, A.W. and Abu Arabi, M., 2004, A comprehensive review of nanofiltration membranes: treatment, pretreatment, modelling, and atomic force microscopy, Desalination, 170: 281-308.
20. Hilal, N., Al-Zoubi, H., Mohammad, A.W. and Darwish, N., 2005, Nanofiltration of highly concentrated salt solutions up to seawater salinity; Desalination, 184: 1295-1306.
21. Jitsuhara, I. and Kimura, S., 1983, Rejection of organic salts by charged ultrafiltration membranes made of sulfonated polysulfone, J Chem Eng Jpn, 16: 394.
22. Levenstein, R., Hasson, D. and Semiat, R., 1996, Utilisation of the Donnan effect for improving electrolyte separation with nanofiltraton membranes, J Membr Sci, 116: 77-92.
23. Mackay, D.J., 1992, A practical Bayesian framework for backpropagation networks, Neural Computation, 4: 448-472.
24. Niemi, H., Bulsari, A. and Palosaar, S., 1995, Simulation of membrane separation by neural networks, Journal of Membrane Science, 102: 185-191.
25. Peeters, J.M., Boom, J.P., Mulder, M.H. and Strathmann, H., 1998, Retention measurements of nanofiltration membranes with electrolyte solutions, J Membr Sci, 145: 199-209.
26. Perry, M. and Linder, C., 1989, Intermediate RO UF membranes for concentrating and desalting of low molecular weight organic solutes, Desalination, 71: 233-247.
27. Piron, E., Latrille, E. and Ren, F., 1997, Application of artificial neural networks for cross flow microfiltration modelling: "black-box" and semi-physical approaches, Comp Chem Engng, 21: 1021-1030.
28. Pontalier, P., Ismail, A. and Ghoul, M., 1999, Specific model for nanofiltration, J Food Engin, 40: 145-151.
29. Raman, L.P., Cheryan, M. and Rajagopalan, N., 1994, Consider nanofiltration for membrane separation, Chem Eng Prog, 90: 68-74.
30. Rumelhart, D.E., Hinton, G.E. and Williams, R.J., 1986, Learning representations by back-propagating errors, Nature, 323: 533-536.
31. Schaep, J., Vandecasteele, C., Mohammad, A.W. and Bowen, W.R., 2001, Modelling the retention of ionic components for different nanofiltration membranes, Separation and Purification Technology, 22-23(1-3): 169-179.
32. Schirg, P. and Widmer, F., 1992, Characterisation of nanofiltration membranes for the separation of aqueous dye-salt solutions, Desalination, 89: 89-97.
33. Shuang-Quan, W., Jie, Y. and Kuo-Chen, C., 2006, Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition, J Theoretical Biology, 242: 941-946.
34. Spiegler, K.S. and Kedem, O., 1966, Thermodynamics of hyperfiltration (reverse osmosis): Criteria for efficient membranes, Desalination, 1: 311-326.
35. Straatsma, J., Bargeman, G., van der Horst, H. and Wesselingh, J.A., 2002, Can nanofiltration be fully predicted by a model? J Membr Sci, 198: 273-284.
36. Tambe, S.S., Kulkami, B.D. and Deshpande, P.B., 1996, Elements of Artificial Neural Networks with Selected Applications in Chemical Engineering, and Chemical & Biological Sciences, Simulation & Advanced Controls Ltd, Louisville, KY, USA.
37. Teodosiu, C., Pastravanu, D. and Macoveanu, M., 2000, Neural network model for ultrafiltration and backwashing, Wat Res, 34: 4371-4380.
38. Trichard, J.M., Domier, M., Decloux, M. and Trystram, G., 1995, Potentials of neural networks for dynamic modelling of crossflow filtrations conducted at time-variable operating conditions, Proceedings of Euromembrane '95, 71-74.
39. Van der Bruggen, B., Schaep, J., Wilms, D. and Vandecasteele, C., 1999, Influence of molecular size, polarity and charge on the retention of organic molecules by nanofiltration, J Membr Sci, 156: 29-41.
40. Van der Bruggen, B. and Vandecasteele, C., 2003, Removal of pollutants from surface water and groundwater by nanofiltration: overview of possible applications in the drinking water industry, Environ Poll, 122: 435-445.
41. Wolpert, D.H., 1992, Stacked generalization, Neural Networks, 5: 241-259.
42. Xu, X. and Spencer, H.G., 1997, Dye-salt separations by nanofiltration using weak acid polyelectrolyte membranes, Desalination,, 114: 129-137.