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

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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10.2202/1542-6580.1942

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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).",

keywords = "ANN modeling, Central composite design, COD removal, Electrocoagulation, Response surface methodology",

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AU - Murugan, A. Arul

AU - Ramamurthy, Thilakavathi

AU - Subramanian, Bala

AU - Kannan, C. Srinivasa

AU - Ganesan, Madhavi

PY - 2009

Y1 - 2009

N2 - 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).

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

UR - https://www.scopus.com/pages/publications/73849100659

U2 - 10.2202/1542-6580.1942

DO - 10.2202/1542-6580.1942

M3 - Article

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VL - 7

JO - International Journal of Chemical Reactor Engineering

JF - International Journal of Chemical Reactor Engineering

M1 - A83

ER -

Electrocoagulation of textile effluent: RSM and ANN modeling

Abstract

Keywords

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