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Open Access
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T. P. Sulakshna, Dr. V. R. Pramod, Dr. V. Meera,
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- Former Assistant Professor (Ad hoc), Former Professor, Former Professor Department of Civil Engineering, NSS college of Engineering, Palakkad, Akathethara, Department of Mechanical Engineering, NSS college of Engineering, Palakkad, Akathethara, Department of Civil Engineering, Government Engineering college , Thrissur Kerala, Kerala, Kerala India, India, India
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Abstract
nElectrochemical 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.
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Keywords: Electrocoagulation, Artificial Neural Network (ANN) Subject classification codes: Environmental process control, electrochemical processes, Artificial Intelligence, ANN
n[if 424 equals=”Regular Issue”][This article belongs to Trends in Electrical Engineering(tee)]
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References
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| Volume | 14 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 02 | |
| Received | June 19, 2024 | |
| Accepted | July 19, 2024 | |
| Published | July 25, 2024 |
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