Flash point is one
of the most widely used properties in the risk
assessment and safe design of process industries. In the current work,
we have presented a novel and accurate model to predict the flash
points of pure organic compounds from diverse families. The proposed
model is a linear correlation between the flash point, normal boiling
point, and 42 predefined functional groups constituting the molecule.
Evaluation of the model through a data set of 1533 pure organic compounds
shows an average absolute deviation, an average absolute relative
error, and a correlation coefficient of 5.83, 1.61, and 0.992, respectively.
Comparing the results of the present study with other works shows
that the model proposed in this work is among the most accurate and
reliable ones to date.