Les Inscriptions à la Bibliothèque sont ouvertes en
ligne via le site: https://biblio.enp.edu.dz
Les Réinscriptions se font à :
• La Bibliothèque Annexe pour les étudiants en
2ème Année CPST
• La Bibliothèque Centrale pour les étudiants en Spécialités
A partir de cette page vous pouvez :
Retourner au premier écran avec les recherches... |
Détail de l'auteur
Auteur Henrique A. Matos
Documents disponibles écrits par cet auteur
Affiner la rechercheCombined group-contribution and atom connectivity index-based methods for estimation of surface tension and viscosity / Elisa Conte in Industrial & engineering chemistry research, Vol. 47 N°20 (Octobre 2008)
[article]
in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7940-7954
Titre : Combined group-contribution and atom connectivity index-based methods for estimation of surface tension and viscosity Type de document : texte imprimé Auteurs : Elisa Conte, Auteur ; Ana Martinho, Auteur ; Henrique A. Matos, Auteur ; Rafiqul Gani, Auteur Année de publication : 2008 Article en page(s) : P. 7940-7954 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Surface tension Viscosity Atom connectivity (CI) Résumé : New methods for estimation of surface tension and viscosity of pure component organic chemicals are presented. The surface tension is estimated at 298 K while the viscosity is estimated at 300 K. For both properties, the combined group contribution−atom connectivity index approach has been employed, where the same set of experimental data is used for a group contribution (GC)-based model and an atom connectivity index (CI)-based method and then the model parameters for the atom-CI method are used to predict the missing parameters of the GC method. In this way, using the same set of experimental data, the application range of the GC method is enlarged through the combined GC−CI method. Group contributions for surface tension (98, 39, and 8 for first, second, and third order groups, respectively) and for viscosity (108, 39, and 12 for first, second, and third order groups, respectively) have been regressed using two collected sets of experimental data consisting of 420 compounds for surface tension and 445 for viscosity, including C, H, N, O, F, Cl, Br, and S atoms, some of which are complex polycyclic compounds. The new methods have been compared with other GC methods, and their use in mixture property models have also been highlighted through illustrative examples. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071572w [article] Combined group-contribution and atom connectivity index-based methods for estimation of surface tension and viscosity [texte imprimé] / Elisa Conte, Auteur ; Ana Martinho, Auteur ; Henrique A. Matos, Auteur ; Rafiqul Gani, Auteur . - 2008 . - P. 7940-7954.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7940-7954
Mots-clés : Surface tension Viscosity Atom connectivity (CI) Résumé : New methods for estimation of surface tension and viscosity of pure component organic chemicals are presented. The surface tension is estimated at 298 K while the viscosity is estimated at 300 K. For both properties, the combined group contribution−atom connectivity index approach has been employed, where the same set of experimental data is used for a group contribution (GC)-based model and an atom connectivity index (CI)-based method and then the model parameters for the atom-CI method are used to predict the missing parameters of the GC method. In this way, using the same set of experimental data, the application range of the GC method is enlarged through the combined GC−CI method. Group contributions for surface tension (98, 39, and 8 for first, second, and third order groups, respectively) and for viscosity (108, 39, and 12 for first, second, and third order groups, respectively) have been regressed using two collected sets of experimental data consisting of 420 compounds for surface tension and 445 for viscosity, including C, H, N, O, F, Cl, Br, and S atoms, some of which are complex polycyclic compounds. The new methods have been compared with other GC methods, and their use in mixture property models have also been highlighted through illustrative examples. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071572w