Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF) |
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Authors: | Rahmanian Bashir Pakizeh Majid Esfandyari Morteza Heshmatnezhad Fazlollah Maskooki Abdolmajid |
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Affiliation: | a Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Postal Code 9177948944, P.O. Box 91775-1111, Mashhad, Khorasan, Iran b Department of Khorasan Research Institute for Food Science and Technology (KRIFST), P.O. Box 91735-139, Mashhad, Khorasan, Iran |
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Abstract: | In the present paper, a three factor, three-level response surface design based on Box-Behnken design (BBD) was developed for maximizing lead removal from aqueous solution using micellar-enhanced ultrafiltration (MEUF). Due to extremely complexity and nonlinearity of membrane separation processes, fuzzy logic (FL) models have been driven to simulate MEUF process under a wide range of initial and hydrodynamic conditions. Instead of using mathematical model, fuzzy logic approach provides a simpler and easier approach to describe the relationships between the processing variables and the metal rejection and permeation flux. Statistical values, which quantify the degree of agreement between experimental observations and numerically calculated values, were found greater than 91% for all cases. The results show that predicted values obtained from the fuzzy model were in very good agreement with the reported experimental data. |
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Keywords: | ARE average relative error AARE absolute average relative error SD standard deviation MEUF micellar-enhanced ultrafiltration CMC critical micellar concentration FL fuzzy logic FIS fuzzy inference system RSM response surface methodology BBD Box-Behnken design MFs Gaussian membership functions TMP transmembrane pressure (bar) |
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