Generalized correlation of refrigerant mass flow rate through adiabatic capillary tubes using artificial neural network-Reference-Cited by-同舟云学术

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Generalized correlation of refrigerant mass flow rate through adiabatic capillary tubes using artificial neural network

Published:2005-06 Issue:4 Volume:28 Page:506-514
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Zhang Chun-Lu

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction

Reference39 articles.

1. ASHRAE handbook—refrigeration,2002

2. Numerical modeling of thermodynamic non-equilibrium flow of refrigerant through capillary tubes;Li;ASHRAE Trans,1990

3. Modeling of steady flows of R-22 through capillary tubes;Kuehl;ASHRAE Trans,1991

4. Numerical simulation of capillary-tube expansion devices;Escanes;Int J Refrig,1995

5. A theoretical model for predicting adiabatic capillary tube performance with alternative refrigerants;Bittle;ASHRAE Trans,1996

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