Abstract:The growing interest in fuel property prediction models for simplification of fuel characterization has led to techniques for evaluating the chemical functional group compositions of fuels and mixtures as lowdimensional representations of the more detailed complete fuel composition. A new technique for quantitatively evaluating the UNIFAC group composition, chosen for its predictive versatility, from twodimensional gas chromatography (GC × GC) analysis of complex real and alternative jet fuels is discussed. GC… Show more
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