Franchesca Rose Hauck
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With the rise of focus and funding in sustainable initiatives, the transportation sector has identified Sustainable Aviation Fuels (SAFs) as a response to reduce carbon dioxide and other greenhouse gas outputs into the atmosphere. Before SAFs can be used by airlines, they have to pass an approval process to make sure fuels operate within industry standards. The approval processes is very time and material expensive. To lower overall costs to this process, a pre-screening process has been developed to predict physical and chemical properties of the prospective fuels. Viscosity has been identified as one of the key properties as it lends itself to is ignition probability prediction.The focus of this study is to validate different viscosity extrapolation and blending models at low temperatures. The blends tested are ternary blends of current fuels and key molecules found within approved SAFs. Four different sets of blends were tested to see how other physical or chemical properties affect the viscosity when blended and measured at -40°C and -20°C. Of the six models tested, the Arrhenius Blending Model results in the least amount of error compared to experimental values. As molecules were introduced into the blend sets, errors increased. Overall low error suggests the utility of this blend model in property prediction. To further lower error, future work can investigate the effects of molecular size and interactions within blends.
Joshua S. Heyne
Primary Advisor's Department
Mechanical and Aerospace Engineering
Stander Symposium project, School of Engineering
United Nations Sustainable Development Goals
Affordable and Clean Energy
"Experimental Validation of Low Temperature Viscosity Predictions for Sustainable Aviation Fuel Blends" (2021). Stander Symposium Projects. 2374.