By
T. P. Sulakshna,
Dr. V. R. Pramod,
Dr. V. Meera,
- Former Assistant Professor (Ad hoc) Department of Civil Engineering, NSS college of Engineering, Palakkad, Akathethara Kerala India
- Former Professor Department of Mechanical Engineering, NSS college of Engineering, Palakkad, Akathethara Kerala India
- Former Professor Department of Civil Engineering, Government Engineering college , Thrissur Kerala India
Abstract
Electrochemical technology encompasses a wide spectrum of technologies and makes numerous contributions towards a cleaner environment. In this work, the decolourization of the synthetic fabric dye solution containing CIBA (Company for Chemical Industry Basel) Red by electrocoagulation method has been investigated. Investigations have also been conducted on the impact of operational variables on colour removal effectiveness, including beginning pH, electrolysis duration, distance between electrodes. An electrode retention time, dye focus. She does and solves conductance. Neural computing is one of the fastest growing areas of artificial intelligence (AI). The use of AI in various environmental process control studies are of great importance as their predictions are quite difficult. To anticipate the process’s productivity, an Artificial Neural Network (ANN) model was created that could produce accurate predictions about the electrocoagulation process’s effectiveness.
Keywords: Electrocoagulation, Artificial Neural Network (ANN) Subject classification codes: Environmental process control, electrochemical processes, Artificial Intelligence, ANN
[This article belongs to Trends in Electrical Engineering(tee)]
How to cite this article: T. P. Sulakshna, Dr. V. R. Pramod, Dr. V. Meera. Process of Decolourisation of Textile Dye Using Electrocoagulation and It’s Modelling Using Artificial Neural Network. Trends in Electrical Engineering. 2024; 14(02):-.
How to cite this URL: T. P. Sulakshna, Dr. V. R. Pramod, Dr. V. Meera. Process of Decolourisation of Textile Dye Using Electrocoagulation and It’s Modelling Using Artificial Neural Network. Trends in Electrical Engineering. 2024; 14(02):-. Available from: https://journals.stmjournals.com/tee/article=2024/view=167464
References
- Daneshvar, N., Khataee, A. R., & Djafarzadeh, N. (2006). The use of artificial neural networks (ANN) for modeling of decolorization of textile dye solution containing C.I. Basic Yellow 28 by electrocoagulation process. Journal of Hazardous Materials, 137(3), 1788-1795. https://doi.org/10.1016/j.jhazmat.2006.05.042.
- Yildiz, Y. Ş. (2008). Optimization of Bomaplex Red CR-L dye removal from aqueous solution by electrocoagulation using aluminum electrodes. Journal of Hazardous Materials, 153(1–2), 194-200. https://doi.org/10.1016/j.jhazmat.2007.08.034
- Ahmed, M. N., & Ram, R. N. (1992). Removal of basic dye from wastewater using silica as adsorbent. Environmental Pollution, 77(1), 79-86. https://doi.org/10.1016/0269-7491(92)90161-3
- Kobya, M., Demirbas, E., Can, O. T., & Bayramoglu, M. (2006). Treatment of Levafix Orange textile dye solution by electrocoagulation. Journal of Hazardous Materials, 132(2–3), 183-188. https://doi.org/10.1016/j.jhazmat.2005.07.084
- Cañizares, P., Martínez, F., Rodrigo, M.A., Jiménez, C., Sáez, C., & Lobato, J. (2008). Modelling of wastewater electrocoagulation processes. Part II Application to dye-polluted wastewaters and oil-in-water emulsions. Separation and Purification Technology, 60, 147-154.
- Jalel, N. A., Mirzai, A. R., Leigh, J. R., & Nicholson, H. (1992). Application of neural networks in process control. In J. G. Taylor (Ed.), Neural Network Applications (pp. 8). Springer. https://doi.org/10.1007/978-1-4471-2003-2_8
- Raju, G.B., Karuppiah, M.T., Latha, S.S., Parvathy, S., & Prabhakar, S. (2008). Treatment of wastewater from synthetic textile industry by electrocoagulation-electrooxidation. Chemical Engineering Journal, 144, 51-58.
- Bayramoglu, M., Eyvaz, M., & Kobya, M. (2007). Treatment of the textile wastewater by electrocoagulation: Economical evaluation. Chemical Engineering Journal, 128(2–3), 155-161. https://doi.org/10.1016/j.cej.2006.10.008
- Valero, D.R., Ortiz, J.M., Expósito, E., Montiel, V., & Aldaz, A. (2008). Electrocoagulation of a synthetic textile effluent powered by photovoltaic energy without batteries: Direct connection behaviour. Solar Energy Materials and Solar Cells, 92, 291-297.
- Kashefialasl, M., Khosravi, M., & Seyyedi, K. (2006). Treatment of dye solution containing Colored Index Acid Yellow 36 by electrocoagulation using iron electrodes. International Journal of Environment Science and Technology, 2(4), 2.
- Can, O.T., Bayramoğlu, M., & Kobya, M. (2003). Decolorization of Reactive Dye Solutions by Electrocoagulation Using Aluminum Electrodes. Industrial & Engineering Chemistry Research, 42, 3391-3396.
- Song, S., He, Z., Qiu, J., Xu, L., & Chen, J. (2007). Ozone assisted electrocoagulation for decolorization of C.I. Reactive Black 5 in aqueous solution: An investigation of the effect of operational parameters. Separation and Purification Technology, 55(2), 238-245. https://doi.org/10.1016/j.seppur.2006.12.013
Regular Issue Subscription Original Research
Trends in Electrical Engineering
ISSN: 2249-4774
| Volume | 14 |
| Issue | 02 |
| Received | June 19, 2024 |
| Accepted | July 19, 2024 |
| Published | July 25, 2024 |