Uncertainty quantification of multispecies droplet evaporation models

Lupo, Giandomenico ✉; Duwig, Christophe

Angol nyelvű Tudományos Szakcikk (Folyóiratcikk)
Megjelent: INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 0017-9310 154 Paper: 119697 , 17 p. 2020
  • SJR Scopus - Condensed Matter Physics: D1
Azonosítók
Szakterületek:
    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. All rights reserved.
    Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
    2021-04-19 21:30