화학공학소재연구정보센터
홈 로그인 로그아웃 연락처 사이트맵
Korean Journal of Chemical Engineering, Vol.32, No.1, 159-167, January, 2015
DOI10.1007/s11814-014-0218-9  Export Citation
Experimental and computational investigation of polyacrylonitrile ultrafiltration membrane for industrial oily wastewater treatment
Hooman Adib1, 2, Shadi Hassanajili1, †, Mohammad Reza Sheikhi-Kouhsar1, Abdolhamid Salahi3, and Toraj Mohammadi3
  • 1Department of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz, Iran
  • 2National Iranian Gas Company (NIGC), South Pars Gas Complex (SPGC), Asaluyeh, Iran
  • 3Research Centre for Membrane Separation Processes (RCMSP), Faculty of Chemical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 16846, Iran
E-mail:
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.
Keywords:Polyacrylonitrile;Permeation Flux Decline;Fouling Resistance;Support Vector Machine;Tehran Refinery
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