Fuzzy Inference System for Modeling of Zinc Removal Using Micellar-Enhanced Ultrafiltration

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 evaluation of micellar-enhanced ultrafiltration (MEUF) performance. In the current work, the foldover fractional f...

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Bibliographic Details
Published in:Separation science and technology 2011-06, Vol.46 (10), p.1571-1581
Main Authors: Rahmanian, B., Pakizeh, M., Esfandyari, M., Maskooki, A.
Format: Article
Language:English
Subjects:
Analysis of variance
factorial design
Fuzzy
Fuzzy logic
Fuzzy model
Fuzzy set theory
Mathematical analysis
Mathematical models
MEUF
Rejection
Ultrafiltration
wastewater
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Summary: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 evaluation of micellar-enhanced ultrafiltration (MEUF) performance. In the current work, the foldover fractional factorial designs were applied as a screening experiment to determine all the influential factors affect Zn 2+ rejection and permeate flux response. According to analysis of the variance (ANOVA) a three-screened significant factors, three-level full factorial designs (3 k ) was applied. Finally, a fuzzy model has been developed 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.
ISSN:0149-6395
1520-5754
DOI:10.1080/01496395.2011.564596