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Application of Artificial Neural Network (ANN) for modelling H2O/KCOOH (potassium formate) dynamic viscosity.

Author(s) : LONGO G. A., ORTOMBINA L., ZIGLIOTTO M.

Type of article: Article, IJR article

Summary

This study presents an Artificial Neural Network (ANN) model for predicting the dynamic viscosity of H2O/KCOOH (potassium formate) solution. The model accounts for the effect of temperature and concentration in salt and it covers the concentrations typical for brine (0–50%) and desiccant (60–80%) applications, including also pure water. The model shows a fair agreement in predicting experimental data: the mean absolute percentage error (MAPE) is 0.92%. The characteristic parameters of the ANN model are fully reported in the paper.

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Pages: 435-440

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Details

  • Original title: Application of Artificial Neural Network (ANN) for modelling H2O/KCOOH (potassium formate) dynamic viscosity.
  • Record ID : 30023169
  • Languages: English
  • Source: International Journal of Refrigeration - Revue Internationale du Froid - vol. 86
  • Publication date: 2018/02
  • DOI: http://dx.doi.org/10.1016/j.ijrefrig.2017.11.033

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