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Modeling Distillation Mass Transfer EfficiencyKeywords: Distillation , computational fluid dynamics , artificial neural networks , mass transfer efficiency , sieve trays Abstract: Mass transfer efficiency was modeled by developing a computational fluid dynamic based artificial neural network model. A CFDmodel was developed and validated for hydrodynamics and mass transfer characteristics of distillation column. Generated data byCFD include a wide range of operating conditions, tray geometries and material properties were used for training and testing network.The model results were close to experimental data and shown that CFD-ANN model can be used as a powerful tool in tray design andanalysis.Keywords:
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