(242c) Prediction of the Impact of Water Fraction on Emulsion Behavior Using Quantitative Structure-Property Relationship (QSPR) Modeling Conference: AIChE Annual MeetingYear: 2015Proceeding: 2015 AIChE Annual MeetingGroup: Computing and Systems Technology DivisionSession: Interactive Session: Applied Mathematics and Numerical Analysis Time: Monday, November 9, 2015 - 6:00pm-8:00pm Authors: Negash, M., Oklahoma State University Venkataramani, D., Oklahoma State University Kumar, A., Oklahoma State University Aichele, C. P., Oklahoma State University Briggs, N., University of Oklahoma Crossley, S., University of Oklahoma Neely, B. J., 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.