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 factorial designs were applied as a screening experiment to determine all the influential factors affect Zn2+ 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.

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