Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluids
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Scholar |
Altres documents de l'autoria: Mendoza-Miranda, Juan Manuel; Ramírez Minguela, J. J.; Muñoz Carpio, V. D.; Navarro-Esbrí, Joaquín
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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INVESTIGACIONAquest recurs és restringit
http://dx.doi.org/10.1016/j.ijrefrig.2014.10.021 |
Metadades
Títol
Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluidsAutoria
Data de publicació
2015Editor
ElsevierCita bibliogràfica
MENDOZA-MIRANDA, J. M., et al. Development and validation of a micro-fin tubes evaporator model using R134a and R1234yf as working fluids. International Journal of Refrigeration, 2015, vol. 50, p. 32-43.Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
http://www.sciencedirect.com/science/article/pii/S014070071400293XParaules clau / Matèries
Resum
This paper presents a model of shell and tube evaporator with micro-fin tubes using R1234yf and R134a. The model developed for this evaporator uses the ε-NTU method to predict the evaporating pressure, the refrigerant ... [+]
This paper presents a model of shell and tube evaporator with micro-fin tubes using R1234yf and R134a. The model developed for this evaporator uses the ε-NTU method to predict the evaporating pressure, the refrigerant outlet enthalpy and the outlet temperature of the secondary fluid. The model accuracy is evaluated using different two-phase flow boiling correlations for micro-fin tubes and comparing predicted and experimental data. The experimental tests were carried out for a wide range of operating conditions using R134a and R1234yf as working fluids. The predicted parameter with maximum deviations, between the predicted and experimental data, is the evaporating pressure. The correlation of Akhavan– Behabadi et al. was used to predict flow boiling heat transfer, with an error on cooling capacity prediction below 5%. Simulations, carried out with this validated model, show that the overall heat transfer coefficient of R1234yf has a maximum decrease of 10% compared with R134a. [-]
Publicat a
International Journal of Refrigeration, 2015, vol. 50Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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