Separation Science and Technology, ( ISI ), Volume (46), No (10), Year (2011-12) , Pages (1571-1581)

Title : ( Fuzzy Inference System for Modeling of Zinc Removal Using Micellar-enhanced Ultrafiltration )

Authors: Bashir Rahmanian Hoseinabadi , Majid Pakizeh , morteza esfandyari , عبدالمجید مسکوکی ,

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Discrete event computer simulation is one of the most widely used modeling tools for production systems. The major objective of this study is to develop a fuzzy rule-based model for the performance evaluation of micellar-enhanced ultrafiltration (MEUF) by spiral-wound membrane in Zn2+ removal from synthetic wastewater. In the present work, the foldover fractional factorial designs was applied as a screening experiment to determine all the influential factors affect rejection and permeate flux response. Three screened significant factors designed by foldover fractional factorial design and the response variables obtained from 27 trails were concerned to develop a fuzzy model to predict and calculate the output variables. These mathematical models are found to be reliable predictive tools with an excellent accuracy with AARE ±1.08 %, ±3.75 %, in comparison with experimental values for permeate flux and rejection, respectively. It was observed that there is acceptable agreement between and Fuzzy model results with experimental data.

Keywords

, Micellar-enhanced ultrafiltration, Fuzzy inference system, Permeate flux, Rejection, Experimental
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@article{paperid:1017725,
author = {Rahmanian Hoseinabadi, Bashir and Pakizeh, Majid and Esfandyari, Morteza and عبدالمجید مسکوکی},
title = {Fuzzy Inference System for Modeling of Zinc Removal Using Micellar-enhanced Ultrafiltration},
journal = {Separation Science and Technology},
year = {2011},
volume = {46},
number = {10},
month = {December},
issn = {0149-6395},
pages = {1571--1581},
numpages = {10},
keywords = {Micellar-enhanced ultrafiltration; Fuzzy inference system; Permeate flux; Rejection; Experimental design},
}

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%0 Journal Article
%T Fuzzy Inference System for Modeling of Zinc Removal Using Micellar-enhanced Ultrafiltration
%A Rahmanian Hoseinabadi, Bashir
%A Pakizeh, Majid
%A Esfandyari, Morteza
%A عبدالمجید مسکوکی
%J Separation Science and Technology
%@ 0149-6395
%D 2011

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