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.

Front Cover: This article demonstrates a method to parameterize predictive models for hydrocarbon solubility in semicrystalline polyethylenes. The method reproduces solubility data at high loading, as well as in the dilute (Henry) regime. Such models are useful in predicting hydrocarbon absorption in polymer granules produced in the Gas Phase Polyethylene process, supporting kinetic modeling and purging processes. This is reported by Bruce J. Savatsky, Joseph A. Moebus, and Brian. R. Greenhalgh in article 1900003.

No abstract

No abstract