Abstract

Fluid volatility is an important property of liquid fuels that previously has not been adequately addressed in the development of surrogate models for the thermophysical properties of these fluids. Especially important and timely is the development of surrogates for aviation fuels. In the present context, models refer to mathematical descriptions such as equations of state that provide a predictive capability. In this work, we demonstrate how the incorporation of volatility data, in the form of a distillation curve, leads to the development of improved surrogate models for aviation fuels. As an example, we present a seven-component surrogate mixture model for the thermophysical properties of a natural gas derived, synthetic aviation fuel known as S-8. We then compare the properties of the surrogate model with experimental density, sound speed, viscosity, thermal conductivity, and distillation curve data for the real fuel.

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