Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7175409 | International Journal of Refrigeration | 2018 | 19 Pages |
Abstract
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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Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Giovanni A. Longo, Ludovico Ortombina, Mauro Zigliotto,