Influence of selected anions on fluoride removal in electrocoagulation/electroflotation

Afshin Maleki, Amir Hossein Mahvi, Hiua Daraei*, Reza Rezaei, Negar Meihami, Kazhal Mohammadi, Shiva Zandi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Fluoride removal by electrocoagulation/electrofloatation was investigated as an alternative defluoridation method. Batch experiments with aluminum electrodes were used to investigate, with response surface methodology (RSM), genetic algorithm (GA), and the artificial neural network approach (ANN), the effects on defluoridation by electrocoagulation/electrofloatation of the concentration of usual five co-existing anions (Br, Cl, NO3 , SO4 2–, and PO4 2–), and the operational parameters of initial pH, applied electrical current intensity, initial fluoride concentration, and process time. The results demonstrated that the type and concentration of co-existing anions, as well as various operational parameters, had a significant effect on the efficiency of defluoridation by electrocoagulation/electrofloatation.

Original languageEnglish
Pages (from-to)37-47
Number of pages11
JournalFluoride - Quarterly Reports
Volume48
Issue number1
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Anions
  • Artificial neural network approach
  • Co-existing
  • Electrocoagulation/Electrofloatation
  • Fluoride removal
  • Genetic algorithm
  • Operational parameters
  • Response surface methodology

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