Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network

In this study, electrochemical oxidation of combed fabric dyeing wastewater was investigated using graphite electrodes. The response surface methodology (RSM) was used to design the experiments via the central composite design (CCD). The planned experiments were done to track color changes and chemi...

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Autores principales: Mohammed Saleh, Rabia Yildirim, Zelal Isik, Ahmet Karagunduz, Bulent Keskinler, Nadir Dizge
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/55db1f66c0f04572adb4eb252283a834
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spelling oai:doaj.org-article:55db1f66c0f04572adb4eb252283a8342021-11-06T11:20:23ZOptimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network0273-12231996-973210.2166/wst.2021.240https://doaj.org/article/55db1f66c0f04572adb4eb252283a8342021-09-01T00:00:00Zhttp://wst.iwaponline.com/content/84/5/1245https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732In this study, electrochemical oxidation of combed fabric dyeing wastewater was investigated using graphite electrodes. The response surface methodology (RSM) was used to design the experiments via the central composite design (CCD). The planned experiments were done to track color changes and chemical oxygen demand (COD) removal. The experimental results were used to develop optimization models using RSM and the artificial neural network (ANN) and they were compared. The developed models by the two methods were in good agreement with the experimental results. The optimum conditions were found at 150 A/m2, pH 5, and 120 min. The removal efficiencies for color and COD reached 96.6% and 77.69%, respectively. The operating cost at the optimum conditions was also estimated. The energy and the cost of 1 m3 of wastewater required 34.9 kWh and 2.58 US$, respectively. The graphite electrodes can be successfully utilized for treatment of combed fabric dyeing wastewater with reasonable cost. Highlights Electrochemical oxidation of combed fabric dyeing wastewater was investigated using graphite electrodes.; The optimum conditions were found at 150 A/m2, pH 5, and 120 min.; The removal efficiencies for the color and COD reached 96.60% and 77.69%, respectively.;Mohammed SalehRabia YildirimZelal IsikAhmet KaragunduzBulent KeskinlerNadir DizgeIWA Publishingarticleartificial neural networkcombed fabric dyeing wastewater, response surface methodelectro oxidationgraphite electrodesEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 5, Pp 1245-1256 (2021)
institution DOAJ
collection DOAJ
language EN
topic artificial neural network
combed fabric dyeing wastewater, response surface method
electro oxidation
graphite electrodes
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle artificial neural network
combed fabric dyeing wastewater, response surface method
electro oxidation
graphite electrodes
Environmental technology. Sanitary engineering
TD1-1066
Mohammed Saleh
Rabia Yildirim
Zelal Isik
Ahmet Karagunduz
Bulent Keskinler
Nadir Dizge
Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
description In this study, electrochemical oxidation of combed fabric dyeing wastewater was investigated using graphite electrodes. The response surface methodology (RSM) was used to design the experiments via the central composite design (CCD). The planned experiments were done to track color changes and chemical oxygen demand (COD) removal. The experimental results were used to develop optimization models using RSM and the artificial neural network (ANN) and they were compared. The developed models by the two methods were in good agreement with the experimental results. The optimum conditions were found at 150 A/m2, pH 5, and 120 min. The removal efficiencies for color and COD reached 96.6% and 77.69%, respectively. The operating cost at the optimum conditions was also estimated. The energy and the cost of 1 m3 of wastewater required 34.9 kWh and 2.58 US$, respectively. The graphite electrodes can be successfully utilized for treatment of combed fabric dyeing wastewater with reasonable cost. Highlights Electrochemical oxidation of combed fabric dyeing wastewater was investigated using graphite electrodes.; The optimum conditions were found at 150 A/m2, pH 5, and 120 min.; The removal efficiencies for the color and COD reached 96.60% and 77.69%, respectively.;
format article
author Mohammed Saleh
Rabia Yildirim
Zelal Isik
Ahmet Karagunduz
Bulent Keskinler
Nadir Dizge
author_facet Mohammed Saleh
Rabia Yildirim
Zelal Isik
Ahmet Karagunduz
Bulent Keskinler
Nadir Dizge
author_sort Mohammed Saleh
title Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
title_short Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
title_full Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
title_fullStr Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
title_full_unstemmed Optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
title_sort optimization of the electrochemical oxidation of textile wastewater by graphite electrodes by response surface methodology and artificial neural network
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/55db1f66c0f04572adb4eb252283a834
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