Droplet evaporation modeling by the distillation curve model: Accounting for kerosene fuel and elevated pressures

M. Burger, R. Schmehl, K. Prommersberger, O. Schäfer, R. Koch, S. Wittig

Research output: Contribution to journalArticleScientificpeer-review

87 Citations (Scopus)


The emission of jet engines is strongly affected by the fuel preparation process. Due to stringent emission standards, the development of low emission combustor concepts, like lean premixed prevaporized combustion or rich quench lean burn, is an important goal. For the design process of advanced combustors, numerical methods become more and more important. In order to provide an accurate prediction of the fuel preparation process, an exact numerical prediction of thermophysical processes is crucial. A numerically effective fuel droplet evaporation model is presented in the present paper which accounts for the description of multi-component fuels like kerosene. Fractional boiling is described by a single process variable: the molar weight. This way, the fractional distillation process during evaporation of kerosene droplets is taken into account. In addition, a novel method for modeling the properties of the fuel is provided: the property data are supplied as a function of the molar weight. Real gas effects are also taken into account, in order to achieve an accurate prediction at elevated pressures. The major advantage of this new model is that algebraic expressions are derived for the multi-component droplet vaporization. Thus, the present model combines both numerical efficiency and accuracy.

Original languageEnglish
Pages (from-to)4403-4412
Number of pages10
JournalInternational Journal of Heat and Mass Transfer
Issue number23
Publication statusPublished - 1 Jan 2003
Externally publishedYes


  • Fuel droplet
  • High pressure evaporation
  • Multi-component fuel


Dive into the research topics of 'Droplet evaporation modeling by the distillation curve model: Accounting for kerosene fuel and elevated pressures'. Together they form a unique fingerprint.

Cite this