2015 AIChE Annual Meeting Proceedings
(242c) Prediction of the Impact of Water Fraction on Emulsion Behavior Using Quantitative Structure-Property Relationship (QSPR) Modeling
Authors
Menelik Negash - Presenter, Oklahoma State University
Deepika Venkataramani - Presenter, Oklahoma State University
Ashwin Kumar - Presenter, Oklahoma State University
Clint P. Aichele - Presenter, Oklahoma State University
Nicholas Briggs - Presenter, University of Oklahoma
Steven Crossley - Presenter, University of Oklahoma
B. J. Neely - Presenter, Oklahoma State University
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.