Droplet evaporation is handled in general purpose simulations of dispersed flows with
the standard semiempirical zero-dimensional droplet evaporation model. It relies on
a number of model parameters, which can be subject to uncertainty. To the knowledge
of the authors, the present work is the first uncertainty quantification and sensitivity
study of droplet evaporation models. We study the effect of the parameter uncertainties,
by performing uncertainty analysis and Monte Carlo variance based sensitivity analysis.
The important case of multispecies droplet evaporation is covered. The analysis of
the distribution statistics allows us to identify the prevailing trends of the model
output when subject to uncertain input parameters. The individual contributions of
the model parameters to the variance are ranked in order of importance. Overall, the
results provide useful guidelines for the use of the droplet evaporation model in
calculations, under different conditions. The identification of evaporation regimes,
where different sets of model parameters become important, is also valuable in aiding
the design and execution of droplet evaporation experiments. (C) 2020 Elsevier Ltd.
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