Optimization of Electrochemical Oxidation of Textile Dye Wastewater Using Response Surface Methodology (RSM)

2010 ◽  
pp. 1181-1191
Author(s):  
Bahadır K. Körbahti
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Electrochemical Oxidation ◽  
Textile Dye ◽  
Dye Wastewater

Optimization of photocatalytic degradation of real textile dye house wastewater by response surface methodology

2016 ◽  
Vol 74 (9) ◽  
pp. 1999-2009 ◽  
Author(s):  
Sayed Mohammad Bagher Hosseini ◽  
Narges Fallah ◽  
Sayed Javid Royaee
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Advanced Oxidation Process ◽  
Influential Factor ◽  
P Value ◽  
Textile Dye ◽  
Optimum Conditions ◽  
Effective Parameters ◽  
Initial Ph

This study evaluates the advanced oxidation process for decolorization of real textile dyeing wastewater containing azo and disperse dye by TiO2 and UV radiation. Among effective parameters on the photocatalytic process, effects of three operational parameters (TiO2 concentration, initial pH and aeration flow rate) were examined with response surface methodology. The F-value (136.75) and p-value <0.0001 imply that the model is significant. The ‘Pred R-Squared’ of 0.95 is in reasonable agreement with the ‘Adj R-Squared’ of 0.98, which confirms the adaptability of this model. From the quadratic models developed for degradation and subsequent analysis of variance (ANOVA) test using Design Expert software, the concentration of catalyst was found to be the most influential factor, while all the other factors were also significant. To achieve maximum dye removal, optimum conditions were found at TiO2 concentration of 3 g L−1, initial pH of 7 and aeration flow rate of 1.50 L min−1. Under the conditions stated, the percentages of dye and chemical oxygen demand removal were 98.50% and 91.50%, respectively. Furthermore, the mineralization test showed that total organic compounds removal was 91.50% during optimum conditions.

Electrochemical oxidation of landfill leachate in a flow reactor: optimization using response surface methodology

2014 ◽  
Vol 22 (8) ◽  
pp. 5831-5841 ◽  
Author(s):  
Jefferson E. Silveira ◽  
Juan A. Zazo ◽  
Gema Pliego ◽  
Edério D. Bidóia ◽  
Peterson B. Moraes
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Electrochemical Oxidation ◽  
Landfill Leachate ◽  
Flow Reactor ◽  
Reactor Optimization

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

2021 ◽  
Author(s):  
Mohammed Saleh ◽  
Rabia Yildirim ◽  
Zelal Isik ◽  
Ahmet Karagunduz ◽  
Bulent Keskinler ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Electrochemical Oxidation ◽  
Experimental Results ◽  
Dyeing Wastewater ◽  
Optimum Conditions ◽  
Graphite Electrodes ◽  
Artificial Neural

Abstract 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.

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