Optimization of a new polymeric chromium (III) membrane electrode based on methyl violet by using experimental design

Investigation on the Removal of Chromium from Wastewater using Electrocoagulation

Nowadays, treatment of chromium wastewater is very critical also important. The current study investigates the influence of electrocoagulation process parameters to reduce the chromium from wastewater. It has been observed that the initial pH (6), current density (25 mA/cm2), electrode distance (4 cm) and electrolysis time (30 min) were found to be optimum for a 97 % chromium removal. For the above said optimum condition, the electrical energy consumption was found to be 0.12 kWh/m3. A comparison between BBD and ANN shows high correlation coefficient values (R2 (ANN) > 0.90 and R2 (RSM) > 0.90). Results indicated that electrocoagulation process is a cheap and effective method to treat chromium wastewater.

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

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.