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2017 | OriginalPaper | Chapter

RSM and ANN-GA Experimental Design Optimization for Electrocoagulation Removal of Chromium

Authors : Manpreet S. Bhatti, Ashwani K. Thukral, Akepati S. Reddy, Rajeev K. Kalia

Published in: Trends in Asian Water Environmental Science and Technology

Publisher: Springer International Publishing

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The present study was aimed at optimizing electrocoagulation removal of hexavalent chromium using iron electrodes. Process variables investigated were chromium concentration, pH, current density (or voltage) and treatment time, and the responses measured were chromium removal efficiency and energy consumption. Using the experimental results, the treatment process was modeled by response surface methodology (RSM) and by artificial neural network-genetic algorithm (ANN-GA). The optimum current density for energy efficient chromium removal was found to be 20–40 A/m2 for treatment time of 10 min. Current density beyond the optimum range had a cascading effect on chromium removal efficiency.

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