Electrocoagulation of textile effluent: RSM and ANN modeling

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

doi:10.2202/1542-6580.1942

Electrocoagulation of textile effluent: RSM and ANN modeling

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

Chemical and Petroleum Engineering

Anna University
SRM University
Monash University Malaysia

Research output: Contribution to journal › Article › peer-review

18 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 language	British English
Article number	A83
Journal	International Journal of Chemical Reactor Engineering
Volume	7
DOIs	https://doi.org/10.2202/1542-6580.1942
State	Published - 2009

Keywords

ANN modeling
Central composite design
COD removal
Electrocoagulation
Response surface methodology

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AU - Ramamurthy, Thilakavathi

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AU - Kannan, C. Srinivasa

AU - Ganesan, Madhavi

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AB - 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).

KW - ANN modeling

KW - Central composite design

KW - COD removal

KW - Electrocoagulation

KW - Response surface methodology

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JO - International Journal of Chemical Reactor Engineering

JF - International Journal of Chemical Reactor Engineering

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ER -

Electrocoagulation of textile effluent: RSM and ANN modeling

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Keywords

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