Document Type
Article
Publication Date
7-1-2003
Publication Title
AIChE Journal
Abstract
Mixing is an integral component of most polymer processing operations as material properties are highly influenced by the quality of mixing. The degree of distributive mixing (system homogeneity) is assessed by calculating the evolution of Renyi relative entropies for the minor component along a continuous processing equipment. The Renyi entropy involves a β parameter, which represents weighting given to the concentration of the minor component in small, localized regions. Different aspects of mixing can thus be analyzed, from the amount of void spaces to the concentration of the region where mixing is the worst in terms of the minor component. This method provides a unified, rigorous and flexible way of characterizing distributive mixing. Specifically, distributive mixing is analyzed in a numerical simulation of a twin-flight single screw extruder by using particle tracking as a method of describing the mixing process dynamics. Renyi entropies are used to examine three different processing conditions in a twin-flight, single screw extruder. By changing the throttle ratio, the optimal extruder length varied. The relationship between the optimal length and average residence time was good.
Repository Citation
Wang, Winston; Zloczower, Ica Manas; and Kaufman, Miron, "Entropic Characterization of Distributive Mixing in Polymer Processing Equipment" (2003). Physics Faculty Publications. 235.
https://engagedscholarship.csuohio.edu/sciphysics_facpub/235
DOI
10.1002/aic.690490704
Version
Postprint
Publisher's Statement
This is the accepted version of the following article: Winston Wang, Ica Manas-Zloczower and Miron Kaufman, "Entropic characterization of distributive mixing in polymer processing equipment," AIChE J. 49 (7), 1637-1644 (2003), which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/aic.690490704/pdf
Volume
49
Issue
7
Comments
The authors acknowledge the financial support of this work by the National Science Foundation through grants DMI-9812969 and DMI-0140412.