Fuzzy modeling and simulation for lead removal using micellar-enhanced ultrafiltration (MEUF)

Area of Science:

• Environmental Engineering
• Chemical Engineering
• Water Treatment Technologies

Background:

• Membrane separation processes like micellar-enhanced ultrafiltration (MEUF) are complex and nonlinear.
• Accurate modeling is crucial for optimizing lead removal from aqueous solutions.

Purpose of the Study:

• To develop a Box-Behnken design (BBD) for maximizing lead removal via MEUF.
• To simulate the MEUF process using fuzzy logic (FL) models for improved prediction accuracy.

Main Methods:

• A three-factor, three-level Box-Behnken design (BBD) was employed.
• Fuzzy logic (FL) models were developed to simulate the MEUF process.
• Model predictions were compared against experimental data.

Main Results:

• The fuzzy logic approach provided a simpler alternative to complex mathematical models.
• Statistical agreement between experimental and predicted values exceeded 91%.
• The fuzzy model demonstrated excellent agreement with experimental data for lead removal and permeation flux.

Conclusions:

• Fuzzy logic modeling is effective for simulating and optimizing micellar-enhanced ultrafiltration processes.
• The developed BBD and FL model offer a robust approach for lead removal from aqueous solutions.
• This methodology enhances understanding and control of complex membrane separation systems.