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Published on: April 9, 2016
Optimisation of reactive dye removal by sequential electrocoagulation-flocculation method: comparing ANN and RSM
M Mohsen Nourouzi1, T G Chuah, Thomas S Y Choong
1Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43300 UPM Serdang, Selangor.
Summary
Electrocoagulation effectively removes Reactive Black 5 dye using optimized parameters. Artificial neural network and response surface models accurately predicted dye removal efficiency.
Area of Science:
- Environmental Chemistry
- Water Treatment Technologies
- Chemical Engineering
Background:
- Textile industry wastewater contains persistent dyes like Reactive Black 5.
- Conventional dye removal methods often face challenges with efficiency and cost.
- Electrocoagulation (EC) offers a promising alternative for dye decolorization.
Purpose of the Study:
- To investigate the removal of Reactive Black 5 dye using electrocoagulation (EC) combined with flocculant addition.
- To analyze the impact of operational parameters on dye removal efficiency.
- To model and predict dye removal using Artificial Neural Network (ANN) and Response Surface Method (RSM).
Main Methods:
- Experimental investigation of electrocoagulation process parameters: current density, treatment time, solution conductivity, and polymer dosage.
- Application of Artificial Neural Network (ANN) and Response Surface Method (RSM) for modeling.
- Statistical analysis to determine the significance of operational parameters and their interactions.
Main Results:
- Current density, treatment time, and polymer dosage were identified as the most significant factors influencing dye removal (p<0.001).
- Significant interactions were observed between time and current density, time and polymer dosage, and current density and polymer dosage (p<0.05).
- Both ANN and RSM models demonstrated high predictive accuracy for dye removal, with R(2) > 0.8.
Conclusions:
- Electrocoagulation, optimized with flocculant addition, is an effective method for Reactive Black 5 dye removal.
- The developed ANN and RSM models provide reliable tools for predicting and optimizing the electrocoagulation process.
- Understanding the influence of operational parameters and their interactions is crucial for efficient wastewater treatment.
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