Prediction of thermodynamic properties of refrigerants using data mining

@inproceedings{Kksille2011PredictionOT,
  title={Prediction of thermodynamic properties of refrigerants using data mining},
  author={Ecir U. K{\"u}ç{\"u}ksille and Resat Selbas and Arzu Şencan},
  year={2011}
}
The analysis of vapor compression refrigeration systems requires the availability of simple and efficient mathematical formulations for the determination of thermodynamic properties of refrigerants. The aim of this study is to determine thermodynamic properties as enthalpy, entropy and specific volume of alternative refrigerants using data mining method. Alternative refrigerants used in the study are R134a, R404a, R407c and R410a. The results obtained from data mining have been compared to… CONTINUE READING