Abstract
An experimental study on separation of industrial oil from oily wastewater has been done. A polyacrylonitrile membrane with a molecular weight cut-off (MWCO) of 20 kDa was used and an outlet wastewater of API unit of Tehran refinery was employed. The main purpose of this study was to develop a support vector machine model for permeation flux decline and fouling resistance in a cross-flow hydrophilic polyacrylonitrile membrane during ultrafiltration. The operating conditions which have been applied to develop a support vector machine model were transmembrane pressure (TMP), operating temperature, cross flow velocity (CFV), pH values of oily wastewater, permeation flux decline and fouling resistance. The testing results obtained by the support vector machine models are in very good agreement with experimental data. The calculated squared correlation coefficients for permeation flux decline and fouling resistance were both 0.99. Based on the results, the support vector machine proved to be a reliable accurate estimation method.
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References
M. Cheryan and N. Rajagopalan, J. Membr. Sci., 151, 15 (1998).
M. Abbasi, A. Salahi, M. Mirfendereski, T. Mohammadi and A. Pak, Desalination, 252, 113 (2010).
P. Srijaroonrat, E. Julien and Y. Aurelle, J. Membr. Sci., 159, 11 (1999).
H. Bai, X. Wang, Y. Zhou and L. Zhang, J. Prog. Nat. Sci., 250, 3 (2012).
T. Mohammadi, M. Kazemimoghadam and M. Saadabadi, Desalination, 157, 369 (2003).
A. Salahi, M. Abbasi and T. Mohammadi, Desalination, 251, 153 (2010).
B. Yu, H. Cong and X. Zhao, J. Prog. Nat. Sci., 22, 662 (2012).
C. Cheng, J. Uhe, X. Yang, Y. Wu and D. Li, J. Prog. Nat. Sci., 22, 670 (2012).
Y. G. Dave and A. V. R. Reddy, Desalination, 282, 9 (2011).
D. Yang, X. Zhang, L. Yuan and J. Hu, J. Prog. Nat. Sci., 19, 1305 (2009).
J. Xu, X. Feng, P. Chen and C. Gao, J. Membr. Sci., 413, 62 (2012).
E. M.V. Hoek, J. Allred, T. Knoell and B. H. Jeong, J. Membr. Sci., 314, 33 (2008).
S. C. Tu, V. Ravindran and M. Pirbazari, J. Membr. Sci., 265, 29 (2005).
B. Van der Bruggen, M. Manttari and M. Nystrom, Sep. Purif. Technol., 63, 251 (2008).
S. F. E. Boerlage, M.D. Kennedy, P. A.C. Bonne, G. Galjaard and J. C. Schippers, Desalination, 113, 231 (1997).
N. Yin, S. Chen, Y. Ouyang, L. Tang, J. Yang and H. Wang, J. Prog. Nat. Sci., 21, 472 (2011).
S. Ballo, M. Liu, L Hou and J. Chang, J. Prog. Nat. Sci., 19, 873 (2009).
S. Gunalan, R. Sivaraj and V. Rajendran, J. Prog. Nat. Sci., 22, 695 (2012).
H. Shokrkar, A. Salahi, N. Kasiri and T. Mohammadi, Chem. Eng. Res. Des., 90, 846 (2012).
T.M. Hwang, H. Oh, Y. K. Choung, S. Oh, M. Jeon, J.H. Kim, H. N. Nam and S. Lee, Desalination, 247, 285 (2009).
Q. F. Liu, S.H. Kim and S. Lee, Sep. Purif. Technol., 70, 96 (2009).
S. S. Madaeni and A. R. Kurdian, Chem. Eng. Res. Des., 89, 456 (2011).
APHA-American Public Health Association/American Water Works Association/Water Environment Federation, Standard Methods for the Examination of Water and Wastewater, 2001, 20th Ed., Washington DC, USA.
S. Rezaei HoseinAbadi, M.R. Sebzari, M. Hemati, F. Rekabdar and T. Mohammadi, Desalination, 265, 222 (2011).
T. Mohammadi and A. Esmaeelifar, J. Membr. Sci., 254, 129 (2005).
M. A. Hearst, S.T. Dumais, E. Osman, J. Platt and B. Scholkopf, IEEE Intell. Syst. Appl., 13, 18 (1998).
M. Schmidt, Identifying speaker with support vector networks, In Interface 96 Proceedings, Sydney (1996).
N. Cristianini and J. S. Taylor, An introduction to support vector machine (and other kernel-based learning methods), Cambridge Univ. Press, Cambridge (2000).
V.N. Vapnik, Statistical learning theory, Wiley, New York (1998).
M. Pontil and A. Verri, Neural Comput., 10, 955 (1998).
A. Eslamimanesh, F. Gharagheizi, M. Illbeigi, A. H. Mohammadi, A. Fazlali and D. Richon, Fluid Phase Equilib., 316, 34 (2012).
R.M. Balabin and E. I. Lomakina, Phys. Chem. Chem. Phys., 13, 11710 (2011).
J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor and J. Vandewalle, Least Squares Support Vector Machines, World Scientific, Singapore (2002).
J. A. K. Suykens and J. Vandewalle, Neural Process. Lett., 9, 293 (1999).
K. Pelckmans, J. A. K. Suykens, T. Van Gestel,_D. De Brabanter, L. Lukas, B. Hamers, B. De Moor and J. Vandewalle, LS-SVMlab: a Matlab/C Toolbox for Least Squares Support Vector Machines, Internal Report 02-44, ESATSISTA, K.U. Leuven, Belgium (2002).
V. N. Vapnik, The Nature of Statistical Learning Theory, 2nd Ed. Springer, New York (1995).
C.Y. Zhao, H.X. Zhang, X.Y. Zhang, M.C. Liu, Z.D. Hu and B.T. Fan, Toxicol., 217, 105 (2006).
X. Peng, Pattern Recog. Lett., 44, 2678 (2011).
G. Zanghirati and L. Zanni, Parallel Comput., 29, 535 (2003).
J. Terzica, C.R. Nagarajahb and M. Alamgira, Sens. Actuators, 161, 278 (2010).
S. Agarwal, V. V. Saradhi and H. Karnick, Neurocomputing., 71, 1230 (2008).
R. Strack, V. Kecman, B. Strack and Q. Li, Neurocomputing, 59, 101 (2013).
D. C. Li and Y. H. Fang, Expert. Syst. Appl., 34, 2013 (2008).
E. Comak and A. Arslan, Expert. Syst. Appl., 35, 564 (2008).
J.P. Hwang, S. Park and E. Kim, Expert. Syst. Appl., 38, 8580 (2011).
M. K. Salooki, R. Abedini, H. Adib and H. Koolivand, Sep. Purif. Technol., 1, 82 (2011).
H. Adib, R. Haghbakhsh, M. Saidi, M. A. Takassi, F. Sharifi, M. Koolivand, M.R. Rahimpour and S. Keshtkari, J. Nat. Gas Sci. Eng., 10, 14 (2013).
R. Haghbakhsh, H. Adib, P. Keshavarz, M. Koolivand and S. Keshtkari, Thermochim. Acta, 551, 124 (2013).
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Adib, H., Hassanajili, S., Sheikhi-Kouhsar, M.R. et al. Experimental and computational investigation of polyacrylonitrile ultrafiltration membrane for industrial oily wastewater treatment. Korean J. Chem. Eng. 32, 159–167 (2015). https://doi.org/10.1007/s11814-014-0218-9
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DOI: https://doi.org/10.1007/s11814-014-0218-9