| dc.contributor.author |
Mohanty, Swati |
|
| dc.date.accessioned |
2018-10-01T12:22:25Z |
|
| dc.date.available |
2018-10-01T12:22:25Z |
|
| dc.date.issued |
2006 |
|
| dc.identifier.citation |
International Journal Of Refrigeration-Revue Internationale Du Froid, 29(2), 2006: 243-249 |
|
| dc.identifier.issn |
0140-7007 |
|
| dc.identifier.uri |
http://ore.immt.res.in/handle/2018/1206 |
|
| dc.description.abstract |
In this paper, an alternate tool, i.e. the artificial neural network technique has been applied for estimation of vapour liquid equilibria (VLE) for the binary system, carbon dioxide-difluoromethane, which is an attractive alternative to chlorofluorocarbons and hydrochlorofluorocarbons, normally used as refrigerants. The model can satisfactorily estimate the vapour liquid equilibrium pressure and mole fraction carbon dioxide in vapour phase in the temperature range 222.04-343.23 K and in the pressure range 0.105-7.46 MPa. The average absolute error for the system in the estimation of vapour phase mole fraction is 0.0086 and 0.056 MPa for the pressure. (c) 2005 Elsevier Ltd and IIR. All rights reserved. |
|
| dc.language |
en |
|
| dc.publisher |
Elsevier |
|
| dc.relation.isreferencedby |
SCI |
|
| dc.rights |
Copyright [2006]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository. |
|
| dc.subject |
Physical Sciences |
|
| dc.subject |
Engineering |
|
| dc.title |
Estimation of vapour liquid equilibria for the system carbon dioxide-difluoromethane using artificial neural networks |
|
| dc.type |
Journal Article |
|
| dc.affiliation.author |
CSIR-IMMT, Bhubaneswar 751013, Odisha, India |
|