Estimation of thermodynamic properties of environmentally friendly new-generation R515B and R450A as an alternative to R134a
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-26920-7.pdf
Reference29 articles.
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5. Gao N, Wang X, Xuan Y, Chen G (2019) An artificial neural network for the residual isobaric heat capacity of liquid HFC and HFO refrigerants. Int J Refrig 98:381–387. https://doi.org/10.1016/J.IJREFRIG.2018.10.016
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1. A comparative study of thermodynamic properties of R466A using linear regression, artificial neural network and gene expression programming;Journal of Thermal Analysis and Calorimetry;2024-09-06
2. Theoretical study and experimental verification of the viscosities of azeotropic refrigerant R515B;International Journal of Refrigeration;2024-08
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