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Parametric optimization of hexavalent chromium removal by electrocoagulation technology with vertical rotating cylindrical aluminum electrodes using Taguchi and ANN model.

Authors :
Kumar, Amit
Basu, D.
Source :
Journal of Environmental Health Science & Engineering. Jun2023, Vol. 21 Issue 1, p255-275. 21p.
Publication Year :
2023

Abstract

This study aims to evaluate the performance of rotating aluminum electrodes in the electrocoagulation reactor for removing hexavalent chromium (Cr6+) from synthetic tannery wastewater. Taguchi and Artificial Neural Network (ANN) based models were developed to obtain the optimum condition for maximum Cr6+ removal. The optimum working condition obtained by Taguchi approach for the maximum Cr6+ removal (94%) was: Initial Cr6+ concentration (Cr6+i) = 15 mg/L; Current Density (CD) = 14.25 mA/cm2; Intial pH = 5; Rotational Speed of Electrode (RSE) = 70 rpm. In contrast, the optimal condition for maximum Cr6+ ions removal (98.83%) obtained from the BR-ANN model was: Cr6+i = 15 mg/L; CD = 14.36 mA/cm2; pHi = 5.2; RSE = 73 rpm. Compared to the Taguchi model, the BR-ANN model outperformed in terms of providing higher Cr6+ removal (+ 4.83%); reduced energy demand (-0.035 KWh/gm Cr6+ remove); lower error function value (χ2 = -7.9674 and RMSE = -3.5414); and highest R2 value (0.9991). The data for the conditions 91,007 < Re < 227,517 and Sc = 102.834 were found to fit the equation for the initial Cr6+ concentration of 15 mg/l; Sh = 3.143Re0.125 Sc0.33. The Cr6+ removal kinetics was best described by Pseudo 2nd Order model, as validated by high R2 and lower error functions value. The SEM and XRF analysis confirmed that Cr6+ was adsorbed and precipitated along with metal hydroxide sludge. The rotating electrode led to lower SEEC (10.25 kWh/m3), as well as maximum Cr6+ removal (98.83%), compared to EC process with stationary electrodes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2052336X
Volume :
21
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Environmental Health Science & Engineering
Publication Type :
Academic Journal
Accession number :
163555253
Full Text :
https://doi.org/10.1007/s40201-023-00859-w