Effect of operating parameters on the sludge settling characteristics by treatment of the textile dyeing effluent using electrocoagulation
Abstract
This study invested the impact of the operational parameters (pH, Current Density (CD) and Electrode Gap (EG)) on the sludge generated after electrocoagulation treatment of textile dyeing effluent (TDE) by studying sludge settleability and filterability characteristics of EC generated sludge. Electrocoagulation treatment evaluated at laboratory scale with aluminum as electrode material at operating condition of parameters of pH, CD and EG. (pH-5.5, CD-105.12 A/m2 and EG-2.5 cm). Under these operating conditions, maximum COD reduction was achieved 88.45 % and maximum color reduction was about 66.92 %. Settling characteristics of TDE was studied by sludge volume index (SVI) and Centrifugal settleability index (CSI). From disposal point of view, filterability characteristic was also studied by simple gravity filtration method. Specific cake resistance, α (m/kg), filter medium resistance, Rm(m−1) was also studied. The specific cake resistance was found in the order of 38.4 × 1013 >34.13 × 1013 >22.25 × 1013 >11.19 × 1013 >7.30 × 1013 (m/kg) at the pH 9.5, 7.5, 1.5, 5.5 and 3.5 respectively. While filter medium resistance was found to be 111.22 × 109, 92.28 × 109, 82.33 × 109, 41.38 × 109 and 13.87 × 109 m−1 at pH 7.5, 9.5, 3.5, 5.5 and 1.5 respectively.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- A review of frictional pressure drop characteristics of single phase microchannels having different shapes of cross sections
- Research Articles
- Taguchi L16 (44) orthogonal array-based study and thermodynamics analysis for electro-Fenton process treatment of textile industrial dye
- Green synthesis of silver nanoparticles from Aspergillus flavus and their antibacterial performance
- Prediction of effect of wind speed on air pollution level using machine learning technique
- Model-based evaluation of heat of combustion using the degree of reduction
- Enhanced design of PI controller with lead-lag filter for unstable and integrating plus time delay processes
- Effect of operating parameters on the sludge settling characteristics by treatment of the textile dyeing effluent using electrocoagulation
- Simultaneous charging and discharging of metal foam composite phase change material in triplex-tube latent heat storage system under various configurations
- Optimal design of pressure swing adsorption units for hydrogen recovery under uncertainty
- Thermo-kinetics, thermodynamics, and ANN modeling of the pyrolytic behaviours of Corn Cob, Husk, Leaf, and Stalk using thermogravimetric analysis
Artikel in diesem Heft
- Frontmatter
- Review
- A review of frictional pressure drop characteristics of single phase microchannels having different shapes of cross sections
- Research Articles
- Taguchi L16 (44) orthogonal array-based study and thermodynamics analysis for electro-Fenton process treatment of textile industrial dye
- Green synthesis of silver nanoparticles from Aspergillus flavus and their antibacterial performance
- Prediction of effect of wind speed on air pollution level using machine learning technique
- Model-based evaluation of heat of combustion using the degree of reduction
- Enhanced design of PI controller with lead-lag filter for unstable and integrating plus time delay processes
- Effect of operating parameters on the sludge settling characteristics by treatment of the textile dyeing effluent using electrocoagulation
- Simultaneous charging and discharging of metal foam composite phase change material in triplex-tube latent heat storage system under various configurations
- Optimal design of pressure swing adsorption units for hydrogen recovery under uncertainty
- Thermo-kinetics, thermodynamics, and ANN modeling of the pyrolytic behaviours of Corn Cob, Husk, Leaf, and Stalk using thermogravimetric analysis