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Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF)
Authors:Rahmanian Bashir  Pakizeh Majid  Esfandyari Morteza  Heshmatnezhad Fazlollah  Maskooki Abdolmajid
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
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.
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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