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Decolorization of Reactive Black B from wastewater by electro-coagulation: optimization using multivariate RSM and ANN

  • Kajal Gautam , Rishi K. Verma , Suantak Kamsonlian and Sushil Kumar EMAIL logo
Published/Copyright: October 19, 2020
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Chemical Product and Process Modeling
From the journal Chemical Product and Process Modeling Volume 16 Issue 2

Abstract

The present study is aimed to model and optimize the electrocoagulation (EC) process with five important parameters for the decolorization of Reactive Black B (RBB) from simulated wastewater. A multivariate approach, response surface methodology (RSM) together with central composite design (CCD) is used to optimize process parameters such as pH (5–9), electrode gap (0.5–2.5 cm), current density (2.08–10.41 mA/cm2), process time (10–30 min), and initial dye concentration (100–500 mg/l). The predicted percentage decolorization of dye is obtained as 97.21% at optimized conditions: pH (6.8), gapping (1.3 cm), current density (8.32 mA/cm2), time (23 min), and initial dye concentration (200 mg/L), which is very close to experimental percent decolorization (98.41%). The statistical analysis of variance (ANOVA) is performed to evaluate the quadratic model (RSM), and shows good fit of experimental data with coefficient of determination R2 >0.93. An Artificial Neural Network (ANN) is also used to predict the percentage decolorization and gives overall 94.96% which shows performance accuracy between the predicted and actual value of decolorization. The additional considerations of operating cost and current efficiency are also taken care to show the efficacy of EC process with mathematical tool. The sludge characteristics are determined by FE-SEM/EDX.

Keywords: artificial neural network; central composite design; electrocoagulation; response surface methodology; wastewater treatment
Corresponding author: Sushil Kumar, Department of Chemical Engineering, Motilal Nehru National Institute of Technology (MNNIT), Allahabad, Uttarpradesh211004, India, E-mail:

Acknowledgment

The Authors would like to thank TEQIP-II for required financial support and centre for interdisciplinary research, MNNIT Allahabad (India) for providing the necessary analysis facilities.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-05-09
Accepted: 2020-09-27
Published Online: 2020-10-19

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Editorial special section: selected extended papers from an International Conference on Energy and Environmental Technologies for Sustainable Development (CHEM-CONFLUX20)
  4. Research Articles
  5. Model based control strategies to control voltage of Proton Exchange Membrane Fuel Cell
  6. Nested control loop configuration for a three stage biological wastewater treatment process
  7. Energy saving in batch distillation for separation of ternary zeotropic mixture integrated with vapor recompression scheme: dynamics and control
  8. Pyrolysis of corn cob: physico-chemical characterization, thermal decomposition behavior and kinetic analysis
  9. Decolorization of Reactive Black B from wastewater by electro-coagulation: optimization using multivariate RSM and ANN
  10. Numerical simulation of the effect of baffle cut and baffle spacing on shell side heat exchanger performance using CFD
https://doi.org/10.1515/cppm-2020-0043
Keywords for this article
artificial neural network; central composite design; electrocoagulation; response surface methodology; wastewater treatment

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Editorial special section: selected extended papers from an International Conference on Energy and Environmental Technologies for Sustainable Development (CHEM-CONFLUX20)
  4. Research Articles
  5. Model based control strategies to control voltage of Proton Exchange Membrane Fuel Cell
  6. Nested control loop configuration for a three stage biological wastewater treatment process
  7. Energy saving in batch distillation for separation of ternary zeotropic mixture integrated with vapor recompression scheme: dynamics and control
  8. Pyrolysis of corn cob: physico-chemical characterization, thermal decomposition behavior and kinetic analysis
  9. Decolorization of Reactive Black B from wastewater by electro-coagulation: optimization using multivariate RSM and ANN
  10. Numerical simulation of the effect of baffle cut and baffle spacing on shell side heat exchanger performance using CFD
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