Journal of Industrial and Engineering Chemistry, ( ISI ), Volume (31), No (1), Year (2015-6) , Pages (61-73)

Title : ( Identification and optimization of key parameters in preparation of thin film composite membrane for water desalination using multi-step statistical method )

Authors: H. Azizi Namaghi , A. Haghighi Asl , Mahdi Pourafshari Chenar ,
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This study seeks to address the influence of critical variables including casting thickness, polysulfone (PSf) concentration, m-phenylenediamine soaking time, curing time, curing temperature and interfacial polymerization (IP) time in the preparation of thin film composite (TFC) membrane. To properly track the effects of each parameter as well as their interactions on the performance of manufactured membranes, totally 22 experiments were conducted and evaluated by fractional factorial design (FFD). The results showed that due to the complexity of variables, the preliminary models based on the factorial experiments were not able to explain the response curvature. Therefore, a response surface methodology (RSM) based on Box–Behnken design (BBD) was tested to provide a quadratic model, by which the predicted responses were compared with the experimental ones. By the use of RSM, various contour and three-dimensional (3D) plots were constructed to predict optimal levels of the variables. All considered parameters have shown a significant effect on the performance of TFC membrane. The order of significance for permeate flux and rejection rate was ‘‘curing temperature > polysulfone concentra- tion > interfacial polymerization’’ and ‘‘interfacial polymerization > curing temperature > polysulfone concentration’’, respectively. The predicted values were in reasonable agreement with the experimental data, confirming the high predictability of the applied model.

Keywords

Thin film composite membrane; Fractional factorial design; Box–Behnken design; Permeate flux; Rejection
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@article{paperid:1049245,
author = {H. Azizi Namaghi and A. Haghighi Asl and Pourafshari Chenar, Mahdi},
title = {Identification and optimization of key parameters in preparation of thin film composite membrane for water desalination using multi-step statistical method},
journal = {Journal of Industrial and Engineering Chemistry},
year = {2015},
volume = {31},
number = {1},
month = {June},
issn = {1226-086X},
pages = {61--73},
numpages = {12},
keywords = {Thin film composite membrane; Fractional factorial design; Box–Behnken design; Permeate flux; Rejection rate},
}

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%0 Journal Article
%T Identification and optimization of key parameters in preparation of thin film composite membrane for water desalination using multi-step statistical method
%A H. Azizi Namaghi
%A A. Haghighi Asl
%A Pourafshari Chenar, Mahdi
%J Journal of Industrial and Engineering Chemistry
%@ 1226-086X
%D 2015

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