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Estimation of vapour-liquid equilibria for the system carbon dioxide-difluoromethane using artificial neural networks.

Author(s) : MOHANTY S.

Type of article: Article, IJR article

Summary

In this paper, an alternate tool, i.e. the artificial neural network technique has been applied for the 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 VLE 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.

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Pages: 243-249

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Details

  • Original title: Estimation of vapour-liquid equilibria for the system carbon dioxide-difluoromethane using artificial neural networks.
  • Record ID : 2006-1083
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 29 - n. 2
  • Publication date: 2006/03

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