Electrocoagulation of textile effluent: RSM and ANN modeling

A. Arul Murugan, Thilakavathi Ramamurthy, Bala Subramanian, C. Srinivasa Kannan, Madhavi Ganesan

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

This investigation attempts to study electrocoagulation of Acid Blue 113 textile effluent in a batch electrochemical reactor covering wide range in the operating conditions. Experiments were designed using statistical tool of Response Surface Method (RSM) to analyze the combined effect of operating parameters on the efficiency of electro coagulation process. The level of importance of the experimental parameters on the percentage COD removal has been determined by using analysis of variance (ANOVA). Further, the percentage COD removal was also modeled using artificial neural network (ANN).

Original languageBritish English
Article numberA83
JournalInternational Journal of Chemical Reactor Engineering
Volume7
DOIs
StatePublished - 2009

Keywords

  • ANN modeling
  • Central composite design
  • COD removal
  • Electrocoagulation
  • Response surface methodology

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