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Estimation of vapour liquid equilibria for the system carbon dioxide–difluoromethane using artificial neural networks
Authors:Swati Mohanty  
Affiliation:aRegional Research Laboratory (C.S.I.R.), Bhubaneswar 751013, India
Abstract:In this paper, an alternate tool, i.e. the artificial neural network technique has been applied for estimation of vapour liquid equilibria (VLE) for the binary system, carbon dioxide–difluoromethane, which is an attractive alternative to chlorofluorocarbons and hydrochlorofluorocarbons, normally used as refrigerants. The model can satisfactorily estimate the vapour liquid equilibrium pressure and mole fraction carbon dioxide in vapour phase in the temperature range 222.04–343.23 K and in the pressure range 0.105–7.46 MPa. The average absolute error for the system in the estimation of vapour phase mole fraction is 0.0086 and 0.056 MPa for the pressure.
Keywords:Research  Equilibrium  Liquid-vapour  Binary mixture  Carbon dioxide  Modelling  Neuronal networkMots clé  s: Recherche  É  quilibre  Liquide-vapeur    lange binaire  Dioxyde de carbone  Modé  lisation    seau neuronal
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