- Titel
- Group Contribution Method for the Residual Entropy Scaling Model for Viscosities of Branched Alkanes
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-950034
- Quellenangabe
- International journal of thermophysics
Erscheinungsjahr: 2023
Jahrgang: 44
Artikelnummer: 176 - Erstveröffentlichung
- 2023
- Abstract (EN)
- In this work it is shown how the entropy scaling paradigm introduced by Rosenfeld (Phys Rev A 15:2545–2549, 1977, https://doi.org/10.1103/PhysRevA.15.2545) can be extended to calculate the viscosities of branched alkanes by group contribution methods (GCM), making the technique more predictive. Two equations of state (EoS) requiring only a few adjustable parameters (Lee–Kesler–Plöcker and PC-SAFT) were used to calculate the thermodynamic properties of linear and branched alkanes. These EOS models were combined with first-order and second-order group contribution methods to obtain the fluid-specific scaling factor allowing the scaled viscosity values to be mapped onto the generalized correlation developed by Yang et al. (J Chem Eng Data 66:1385–1398, 2021, https://doi.org/10.1021/acs.jced.0c01009) The second-order scheme offers a more accurate estimation of the fluid-specific scaling factor, and overall the method yields an AARD of 10 % versus 8.8 % when the fluid-specific scaling factor is fit directly to the experimental data. More accurate results are obtained when using the PC-SAFT EoS, and the GCM generally out-performs other estimation schemes proposed in the literature for the fluid-specific scaling factor.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der Zeitschrift „International journal of thermophysics” bei Springer erschienen ist.
DOI: 10.1007/s10765-023-03289-w - Verweis
- Ergänzendes Material ist unter folgendem Link zu finden.
Link: https://link.springer.com/article/10.1007/s10765-023-03289-w#Sec12 - Freie Schlagwörter (EN)
- Group contribution method, Lee–Kesler–Plöcker equation of state, Machine learning, PC-SAFT equation of state, Residual entropy scaling, Viscosity
- Klassifikation (DDC)
- 530
- Verlag
- Springer Science + Business Media B.V., New York, NY
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-950034
- Veröffentlichungsdatum Qucosa
- 16.01.2025
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0