ArticleMaterials (Basel, Switzerland)2022
Response Surface Methodology and Artificial Neural Network Modelling of Membrane Rotating Biological Contactors for Wastewater Treatment.
Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Response surface methodology to investigate the effects of operational parameters on membrane bioreactor.Water science and technology : a journal of the International Association on Water Pollution Research · 2025Article
- Mass transfer in heterogeneous biofilms: Key issues in biofilm reactors and AI-driven performance prediction.Environmental science and ecotechnology · 2024Review
- Article
- Parameters Tailoring on the Deposition of Hydroxyapatite by Pulsed Electrical Discharge.Materials (Basel, Switzerland) · 2024Article
- Optimization of Operational Parameters Using Artificial Neural Network and Support Vector Machine for Bio-oil Extracted from Rice Husk.ACS omega · 2024Article
- Temperature-Responsive Separation Membrane with High Antifouling Performance for Efficient Separation.Polymers · 2024Article
- Effect of Operating Parameters on the Performance of Integrated Fixed-Film Activated Sludge for Wastewater Treatment.Membranes · 2023Review
- Article
- Red Fruit Juice Concentration by Osmotic Distillation: Optimization of Operating Conditions by Response Surface Methodology.Membranes · 2023Article
- Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process.Engineering in life sciences · 2023Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Membrane fouling is a major hindrance to widespread wastewater treatment applications. This study optimizes operating parameters in membrane rotating biological contactors (MRBC) for maximized membrane fouling through Response Surface Methodology (RSM) and an Artificial Neural Network (ANN). MRBC is an integrated system, embracing membrane filtration and conventional rotating biological contactor in one individual bioreactor. The filtration performance was optimized by exploiting the three parameters of disk rotational speed, membrane-to-disk gap, and organic loading rate. The results showed that both the RSM and ANN models were in good agreement with the experimental data and the modelled equation. The overall R
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