 |
 |
Journal articles
Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data
Abstract : This paper focuses on a very important point which consists in evaluating experimental data prior to their use for chemical process designs. Hexafluoropropylene P, ρ, T data measured at 11 temperatures from 263 to 362 K and at pressures up to 10 MPa have been examined through a consistency test presented herein and based on the use of a methodology implying both neural networks and Virial equation. Such a methodology appears as very powerful to identify erroneous data and could be conveniently handled for quick checks of databases previously to modeling through classical thermodynamic models and equations of state. As an ap-plication to liquid and vapor phase densities of hexafluoropropylene, a more reliable database is provided after removing out layer data.
Cited literature [10 references]
https://hal-mines-paristech.archives-ouvertes.fr/hal-00652208
Contributor : Bibliothèque Mines Paristech Connect in order to contact the contributor
Submitted on : Thursday, December 15, 2011 - 10:04:49 AM
Last modification on : Wednesday, November 17, 2021 - 12:32:52 PM
Contributor : Bibliothèque Mines Paristech Connect in order to contact the contributor
Submitted on : Thursday, December 15, 2011 - 10:04:49 AM
Last modification on : Wednesday, November 17, 2021 - 12:32:52 PM
File
OJPC20110300002_11112693.pdf
Publisher files allowed on an open archive