Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

Bediha OYAR, (Sakarya Üniversitesi, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü, Sakarya, Türkiye)
Beytullah EREN, (Sakarya Üniversitesi, Mühendislik Fakültesi, Çevre Mühendisliği Bölümü, Sakarya, Türkiye)
Abdil ÖZDEMİR (Sakarya Üniversitesi, Fen Edebiyat Fakültesi, Kimya Bölümü, Sakarya, Türkiye.)
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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Yıl: 2020 Cilt: 24 Sayı: 4 Sayfa Aralığı: 712 - 724 Metin Dili: İngilizce DOI: 10.16984/saufenbilder.698146 İndeks Tarihi: 21-12-2021

Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks

Öz:
The wide range of today's industry increases the diversity of pollutants in the wastewater characteristics. In particular, the wastewater of the textile industry is highly colored. Different techniques are used for color removal of dyes from wastewater. In this work, the removal efficiency of the textile dye (Reactive Black 5) at different current densities (48.5 A/m2, 97.18A/m2, 194.36 A/m2, 388.7 A/m2) was investigated by electrocoagulation method. The dye concentration of wastewater prepared in the laboratory scale was adjusted to 100 mg/L. Two iron electrodes and 3 g NaCl were used in the electrocoagulation system. The samples which taken periodically were measured after the centrifugal processes with the UV spectrophotometer. The experimental results were also modelled with artificial neural networks (ANNs). As a result of the experiments, approximately 90-100% color removal efficiency was obtained. According to the modelling study, the ANNs can predict the color removal efficiency with coefficient of determination (R2) between the experimental and predicted output variable reached up to 0.99.Keywords: Wastewater, electrocoagulation, textile dye (reactive black 5 (RB5)), color, artificial neural networks (ANNs).
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA OYAR B, EREN D, ÖZDEMİR A (2020). Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. , 712 - 724. 10.16984/saufenbilder.698146
Chicago OYAR Bediha,EREN Doç. Dr. Beytullah,ÖZDEMİR Abdil Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. (2020): 712 - 724. 10.16984/saufenbilder.698146
MLA OYAR Bediha,EREN Doç. Dr. Beytullah,ÖZDEMİR Abdil Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. , 2020, ss.712 - 724. 10.16984/saufenbilder.698146
AMA OYAR B,EREN D,ÖZDEMİR A Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. . 2020; 712 - 724. 10.16984/saufenbilder.698146
Vancouver OYAR B,EREN D,ÖZDEMİR A Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. . 2020; 712 - 724. 10.16984/saufenbilder.698146
IEEE OYAR B,EREN D,ÖZDEMİR A "Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks." , ss.712 - 724, 2020. 10.16984/saufenbilder.698146
ISNAD OYAR, Bediha vd. "Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks". (2020), 712-724. https://doi.org/10.16984/saufenbilder.698146
APA OYAR B, EREN D, ÖZDEMİR A (2020). Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 24(4), 712 - 724. 10.16984/saufenbilder.698146
Chicago OYAR Bediha,EREN Doç. Dr. Beytullah,ÖZDEMİR Abdil Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24, no.4 (2020): 712 - 724. 10.16984/saufenbilder.698146
MLA OYAR Bediha,EREN Doç. Dr. Beytullah,ÖZDEMİR Abdil Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol.24, no.4, 2020, ss.712 - 724. 10.16984/saufenbilder.698146
AMA OYAR B,EREN D,ÖZDEMİR A Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020; 24(4): 712 - 724. 10.16984/saufenbilder.698146
Vancouver OYAR B,EREN D,ÖZDEMİR A Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020; 24(4): 712 - 724. 10.16984/saufenbilder.698146
IEEE OYAR B,EREN D,ÖZDEMİR A "Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks." Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 24, ss.712 - 724, 2020. 10.16984/saufenbilder.698146
ISNAD OYAR, Bediha vd. "Removal of Reactive Black 5 from Polluted Solutions by Electrocoagulation: Modelling Experimental Data Using Artificial Neural Networks". Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 24/4 (2020), 712-724. https://doi.org/10.16984/saufenbilder.698146
Sayfa Oluşturulma Tarihi
24-04-2024 14:30

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