Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data
| hal.structure.identifier | Institut de Mécanique et d'Ingénierie de Bordeaux [I2M] | |
| dc.contributor.author | LAUGIER, Serge | |
| hal.structure.identifier | Laboratoire d'Etudes des Systèmes Energétiques Industriels [LESEI] | |
| dc.contributor.author | MADANI, Hakim | |
| hal.structure.identifier | Laboratoire de l'Ingénierie des Procédés de l'Environnement [LIPE] | |
| dc.contributor.author | MENIAI, Abdeslam-Hassen | |
| hal.structure.identifier | CEP/Fontainebleau | |
| dc.contributor.author | RICHON, Dominique | |
| dc.date.accessioned | 2021-05-14T10:05:01Z | |
| dc.date.available | 2021-05-14T10:05:01Z | |
| dc.date.issued | 2011-05-30 | |
| dc.identifier.issn | 2162-1969 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/78543 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | en | |
| dc.publisher | Scientific Research Publishing | |
| dc.subject.en | Consistency Tests | |
| dc.subject.en | Hexafluoropropylene | |
| dc.subject.en | Neural Networks | |
| dc.subject.en | Vibrating Tube Densimeter | |
| dc.subject.en | Virial Equation | |
| dc.title.en | Data Consistency Tests through the Use of Neural Networks and Virial Equation. Application of the Proposed Methodology to Critical Study of Density Data | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.4236/ojpc.2011.13009 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Génie des procédés | |
| bordeaux.journal | Open journal of physical chemistry | |
| bordeaux.page | 61-69 | |
| bordeaux.volume | 1 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.issue | 3 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00652208 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00652208v1 | |
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