424577 Prediction of the Impact of Water Fraction on Emulsion Behavior Using Quantitative Structure-Property Relationship (QSPR) Modeling

Monday, November 9, 2015
Exhibit Hall 1 (Salt Palace Convention Center)
Menelik Negash1, Deepika Venkataramani1, Ashwin Kumar1, Clint P. Aichele1, Nicholas Briggs2, Steven Crossley2 and B. J. Neely1, (1)School of Chemical Engineering, Oklahoma State University, Stillwater, OK, (2)School of Chemical, Biological and Materials Engineering, University of Oklahoma, Norman, OK

Predicting emulsion behavior and transient properties is critical for several industrial applications, particularly in the energy and biofuels industries. The complex and dynamic nature of these systems make their computational prediction using conventional methodologies difficult. Quantitative Structure-Property Relationship (QSPR) modeling, however, is a robust framework which can be applied to predict emulsion behavior and account for the complexities that arise in these systems. This work utilizes QSPR to specifically incorporate the impact of water fraction on emulsion behavior and properties. Optical microscopy is used to quantify droplet size distributions for inclusion in the QSPR modeling framework.

Extended Abstract: File Not Uploaded
See more of this Session: Interactive Session: Applied Mathematics and Numerical Analysis
See more of this Group/Topical: Computing and Systems Technology Division