Parameterization of Models for Vapor Solubility in Semicrystalline Polyethylene

This paper extends the previous article by the authors on the solubility of hydrocarbon vapors in semicrystalline polyethylenes produced in the gas phase process. That work demonstrates a computational model for solubility based on an activity coefficient modification of the Sako–Wu–Prausnitz equati...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Macromolecular reaction engineering 2019-08, Vol.13 (4), p.n/a
Hauptverfasser: Savatsky, Bruce J., Moebus, Joseph A., Greenhalgh, Brian. R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper extends the previous article by the authors on the solubility of hydrocarbon vapors in semicrystalline polyethylenes produced in the gas phase process. That work demonstrates a computational model for solubility based on an activity coefficient modification of the Sako–Wu–Prausnitz equation of state. In that work, by fitting a key parameter, one related to the constraint of tie chains on polymer fluid behavior, to a single isopentane solubility isotherm, accurate predictions of hydrocarbon solubility in polymer granules over a range of temperature, pressure, and composition are reported. In the present work, additional experimental solubility data are reported, an error in the authors' previous article is corrected, and a useful parameterization method that improves the predictive capabilities of the model is demonstrated. By using the model to predict much of the authors' own experimental data, as well as that published by others in the field, it is demonstrated how the proposed parameterization method allows for accurate predictions using a limited amount of experimental measurements. This article extends the authors' previous work on the prediction of hydrocarbon solubility in semicrystalline polyethylenes by correcting an error in the previous submission, and demonstrating a useful model parameterization. The model is used to predict the authors' reported data, as well as those from selected literature, demonstrating its utility in predicting solubility in Gas Phase Polyethylene applications.
ISSN:1862-832X
1862-8338
DOI:10.1002/mren.201900003