Nonlinear Modeling for the Degradation of Aqueous Azo Dyes by Combined Advanced Oxidation Processes Using Artificial Neural Networks
-
Masroor Mohajerani
, Mehrab Mehrvar and Farhad Ein-Mozaffari
One-hidden-layer artificial neural networks (ANNs) using a back-propagation structure have been trained on different sets of experimental data to identify and evaluate the degradation of different azo dyes (Reactive Yellow 84, Reactive Blue 19, Direct Red 23, Direct Red 28, and Acid Blue 193) by photo-Fenton process and combined ozonation and ultrasonolysis processes. Different input variables such as pH, initial concentrations of dyes and ozone, reaction time, ultrasonic power density, and initial concentrations of hydrogen peroxide and ferrous in aqueous solution were employed to model the degradation rates of azo dyes based on the decolorization efficiency and the removal rate using chemical oxygen demand (COD) and total organic carbon (TOC). A new model expression is developed to find the effect of individual parameters and their interactions on the efficiency of organic degradation by advanced oxidation processes.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Nonlinear Modeling for the Degradation of Aqueous Azo Dyes by Combined Advanced Oxidation Processes Using Artificial Neural Networks
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Articles in the same Issue
- Article
- Controllability of Distillation Sequences for the Separation of Ternary Mixture
- Model Order Reduction and the Heat Transfer Modelling of a Heat Exchanger by Using Artificial Neural Approach
- Polyhedral Particles Hopper Flowrate Predictions using Discrete Element Method
- Microfluidics of Nanodrug Delivery: Effect of Reynolds Number Ratio and Particle Size
- CFD Simulation of Water Gas Shift Membrane Reactor--Pressure Effects on the Performance of the Reactor
- Simulation of an Industrial Linear Low Density Polyethylene Plant
- Wet Gas Measurement with Slotted Orifice Meter--Effect of Geometry of Slots and Pressure
- Modeling of a Fixed-Bed Reactor for the Production of Phthalic Anhydride
- Nonlinear Modeling for the Degradation of Aqueous Azo Dyes by Combined Advanced Oxidation Processes Using Artificial Neural Networks
- Selection of Suitable Turbulence Models for Numerical Modelling of Hydrocyclones
- A Hybrid Model of Solvent Hehydratic Distillation Column Based on Mechanism and LS-SVM
- Heterogeneous Model of the Process of Clavulanic Acid Purification by Ionic Exchange in a Fixed-Bed Column
- Coarse-Grained Molecular Dynamics Simulation of Lysozyme Protein Crystals
- Coupling Swelling and Water Retention Processes in Compacted Bentonite
- Adaptive Feedback Linearization Control of SISO Nonlinear Processes Using a Self-Generating Neural Network-Based Approach
- Solid-Liquid Equilibrium of Xylose in Water and Ethanol/Water Mixture
- Simulation of Hydrodesulfurization Trickle Bed Reactor
- Modeling Traffic-Emitted Ultrafine Particle Concentration and Intake Fraction in Corpus Christi, Texas
- Optimum Acetone and Ethanol Extraction of Polyphenols from Pinus caribaea Bark: Maximizing Tannin Content Using Response Surface Methodology
- Modeling of Thin Layer Drying of Banana (Nendran Spp) under Microwave, Convective and Combined Microwave-Convective Processes
- Structured Model of VERO Cells Metabolism in a Fixed-Bed Bioreactor
- Modified Solution Approach in Modeling of Separation of Gaseous Hydrocarbons using Nanostructure MFI Zeolite Membranes with M-S Formulation and DSL and IAST Assumptions
- Segregated Model of Adherent Cell Culture in a Fixed-Bed Bioreactor
- Optimization of Cellulase Production Using Agricultural Wastes by Artificial Neural Network and Genetic Algorithm
- CFD Multifluid Simulation of Spouted Beds with and without Internal Draft Tubes
- Modeling of Urea Release from Briquettes Using Semi infinite and Shrinking Core Models
- Modeling and Optimization of Process Parameters by Taguchi Method: Degradation of Phenolic Compounds by UV/H2O2/TiO2 Process
- Hydrodynamic Investigation in an Annular Reactor with Mixing Time and Residence Time Distribution: Flow Rates Estimation with the Gauss-Newton Gradient Technique
- Prediction and Validation of Carbon Dioxide Gas Solubility in Ionic Liquids at T=298K and Atmospheric Pressure using Quantum Chemical Approach
- Computational Fluid Dynamics Characterization of a Bioreactor Mixing Device for the Animal Cell Culture
- CFD Modelling of Global Mixing Parameters in a Peirce-Smith Converter with Comparison to Physical Modelling
- Pseudo-Dynamic Modeling to Evaluate a Remote Gas-to-Liquids Process
- Fast Pyrolysis of Biomass in Bubbling Fluidized Bed: A Model Study
- Numerical Analysis and Optimization of Oxygen Separation from Air via Pressure Swing Adsorption
- Comparing Usage of Temperature Control and Composition Control for Reactive Distillation Column in Methyl Ester Production
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- A Survey of Data Treatment Techniques for Soft Sensor Design
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- Short Communication
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