A Hybrid Model of Solvent Hehydratic Distillation Column Based on Mechanism and LS-SVM
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Qingtao Sun
and Xuefeng Yan
Considering that there are many factors having highly nonlinear effect on the Murphree efficiency of column in petrochemical industry and that the obtained accurate value of the Murphree efficiency plays an important role in the performance of the column model, a novel hybrid model method which combines mechanism with least square support vector machine (LS-SVM) is proposed to model solvent dehydratic distillation column (SDDC). In the hybrid model, the mechanism method is used to develop the whole model of SDDC, and LS-SVM is employed to describe the relationship between the factors and the Murphree efficiency due to the nonlinear representing ability of LS-SVM. Further, the correlation between the factors and the Murphree efficiency is analyzed to select the input variables of LS-SVM, and leave-one-out cross-validation method is employed to demonstrate the performance of LS-SVM. The simulation result shows that the hybrid model has robust and good predicting performance and can simulate different conditions of SDDC.
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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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
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- 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
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- 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
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- 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
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