Prediction of thermal conductivity of liquid and vapor refrigerants for pure and their binary, ternary mixtures using artificial neural network-Reference-Cited by-同舟云学术

Prediction of thermal conductivity of liquid and vapor refrigerants for pure and their binary, ternary mixtures using artificial neural network

Published:2019-07 Issue:4 Volume:26 Page:561-579
ISSN:0869-8643
Container-title:Thermophysics and Aeromechanics
language:en
Short-container-title:Thermophys. Aeromech.

Author:

Ghalem N.,Hanini S.,Naceur M. W.,Laidi M.,Amrane A.

Publisher

Pleiades Publishing Ltd

Subject

Nuclear and High Energy Physics,Radiation

Link

http://link.springer.com/content/pdf/10.1134/S0869864319040085.pdf

Reference71 articles.

1. World Meteorological Organization, Montreal protocol on substances that deplete the ozone layer report, WMO Bull., 1988, Vol. 37, P. 94–97.

2. J.W. Ramsdell, G.L. Colice, B.P. Ekholm, and N.M. Klinger, Cumulative dose response study comparing HFA-134a albuterol sulfate and conventional CFC albuterol in patients with asthma, Ann. of Allergy Asthma Immunol., 1998, Vol. 81, P. 593–599.

3. W.T. Tsai, An overview of environmental hazards and exposure risk of hydrofluorocarbons (HFCs),Chemosphere, 2005, Vol. 61, P. 1539–1547.

4. World Meteorological Organization (WMO), 2007. Scientific Assessment of Ozone Depletion: 2006, Global Ozone, Research and Monitoring Project, Report 50, Switzerland, Geneva.

5. World Meteorological Organization (WMO), 2003, Scientific Assessment of ozone depletion: 2002, Global Ozone, Research and Monitoring Project, Report 47, Switzerland, Geneva.

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