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Filtering by: Creator Hagen, Christopher L. Date issued sim 2016-11-01

Predicting fuel research octane number using Fourier-transform infrared absorption spectra of neat hydrocarbons

Creator:

Daly, Shane R., Niemeyer, Kyle E., Cannella, William J., and Hagen, Christopher L.

Abstract:

Liquid transportation fuels require costly and time-consuming tests to characterize metrics, such as Research Octane Number (RON) for gasoline. If fuel sale restrictions requiring use of standard Cooperative Fuel Research (CFR) testing procedures do not apply, these tests may be avoided by using multivariate statistical models to predict RON and...

Resource Type:

Article