Abstract
Flash point is one of the most important variables used to characterize fire and explosion hazard of liquids. This paper predicts the flash point of binary partially miscible aqueous mixtures by using the flash point prediction model of Liaw et al. handling non-ideal behavior through liquid phase activity coefficients evaluated with UNIFAC-type models, which do not need experimentally regressed binary parameters. Validation of this entirely predictive model is conclusive with the experimental data over the entire flammable composition range. Overall, the proposed method predicted the experimental data very well. Potential application for this approach concerns the classification of flammable liquid mixtures in the implementation of GHS.
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