Joint analysis of transient flux behaviors via membrane fouling in hybrid PAC/MF processes using neural network

Coskun Aydiner*, Ibrahim Demir, Bulent Keskinler, Orhan Ince

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The main purpose of this study is to understand the transient flux behaviors via membrane fouling in hybrid powdered activated carbon/microfiltration (PAC/MF) processes. Experiments were carried out for nickel solution at various surfactant adsorbent and membrane types and membrane pore sizes. Transient fluxes were modeled together using neural network (NN). A good agreement was obtained with correlation value of 0.986 and mean absolute error of 0.366 m3/m2 h respectively. In hybrid processes three discriminable phase behaviors for the flux were determined as fast [0-40s] slow [40-1000s] and low stable [1000-4500s]. Considerable losses in the flux were determined during the first and the second phases while the flux reached a partial steady-state in the third phase. In the first and the third phases participation of surfactant-adsorbed PACs to the cake layer and/or interaction of surfactants and PACs in the cake with each other were found to be predominant ways for the fouling. Whereas in the second phase the interaction of surfactants with both membrane and cake layer was appeared more influential on transient flux behavior.

Original languageEnglish
Pages (from-to)188-196
Number of pages9
JournalDesalination
Volume250
Issue number1
DOIs
Publication statusPublished - 1 Jan 2010

Funding

This study was financially supported by Gebze Institute of Technology Research Fund (Project no. 02-B-03-03-02 ) and Istanbul Technical University-Institute of Science & Technology (Project no. 30313 ). Author C.A. would like to thank The Scientific & Technological Research Council of Turkey for the PhD scholarship.

FundersFunder number
Gebze Institute of Technology Research Fund02-B-03-03-02
Istanbul Technical University-Institute of Science & Technology30313

    Keywords

    • Hybrid microfiltration
    • Membrane fouling
    • Neural networks
    • Powdered activated carbon
    • Transient flux

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