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Fluoride removal from secondary effluent of the graphite industry using electrodialysis: Optimization with response surface methodology

Fluoride removal from secondary effluent of the graphite industry using electrodialysis:... Abstract Response surface methodology was utilized to model and optimize the operational variables for defluoridation using an electrodialysis process as the treatment of secondary effluent of the graphite industry. Experiments were conducted using a Box-Behnken surface statistical design in order to evaluate the effects and the interaction of the influential variables including the operational voltage, initial fluoride concentration and flow rate. The regression models for defluoridation and energy consumption responses were statistically validated using analysis of variance (ANOVA); high coefficient of determination values (R2 = 0.9772 and R2 = 0.9814; respectively) were obtained. The quadratic model exhibited high reproducibility and a good fit of the experimental data. The optimum values of the initial fluoride concentration, voltage and flow rate were found to be 13.9 mg/L, 13.4 V, 102.5 L/h, respectively. A fluoride removal efficiency of 99.69% was observed under optimum conditions for the treatment of the secondary effluent of the graphite industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Frontiers of Environmental Science & Engineering" Springer Journals

Fluoride removal from secondary effluent of the graphite industry using electrodialysis: Optimization with response surface methodology

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References (48)

Publisher
Springer Journals
Copyright
2019 Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature
ISSN
2095-2201
eISSN
2095-221X
DOI
10.1007/s11783-019-1132-5
Publisher site
See Article on Publisher Site

Abstract

Abstract Response surface methodology was utilized to model and optimize the operational variables for defluoridation using an electrodialysis process as the treatment of secondary effluent of the graphite industry. Experiments were conducted using a Box-Behnken surface statistical design in order to evaluate the effects and the interaction of the influential variables including the operational voltage, initial fluoride concentration and flow rate. The regression models for defluoridation and energy consumption responses were statistically validated using analysis of variance (ANOVA); high coefficient of determination values (R2 = 0.9772 and R2 = 0.9814; respectively) were obtained. The quadratic model exhibited high reproducibility and a good fit of the experimental data. The optimum values of the initial fluoride concentration, voltage and flow rate were found to be 13.9 mg/L, 13.4 V, 102.5 L/h, respectively. A fluoride removal efficiency of 99.69% was observed under optimum conditions for the treatment of the secondary effluent of the graphite industry.

Journal

"Frontiers of Environmental Science & Engineering"Springer Journals

Published: Aug 1, 2019

Keywords: Environment, general

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