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Modelling of droplet heating and evaporation: an application to biodiesel, gasoline and Diesel fuels

机译:液滴加热和蒸发建模:在生物柴油,汽油和柴油燃料中的应用

摘要

This paper presents our recent progress in the modelling of automotive fuel droplet heating and evaporation processes in conditions close to those in internal-combustion engines. Three types of automotive-fuels are considered: biodiesel, gasoline and Diesel fuels. Modelling of biodiesel fuel droplets is based on the application of the Discrete Component (DC) model. A distinctive feature of this model is that it is based on the analytical solutions to the transient heat conduction and species diffusion equations in the liquid phase, taking into account the effects of recirculation. The application of the DC model to fossil fuels (containing potentially hundreds of components), however, is computationally expensive. The modelling of these fuels is based on the recently introduced Multi-Dimensional Quasi-Discrete (MDQD) model. This model replaces large number of components in Diesel and gasoline fuels with a much smaller number of components/quasi-components without losing the main features of the original DC model. The MDQD model is shown to accurately predict the droplet temperatures and evaporation times and to be much more computationally efficient than the DC model. The main features of these models and their applications to automotive fuel droplets are summarised and discussed.
机译:本文介绍了我们在与内燃机相似的条件下对汽车油滴加热和蒸发过程进行建模的最新进展。考虑了三种类型的汽车燃料:生物柴油,汽油和柴油燃料。生物柴油燃料滴的建模基于离散分量(DC)模型的应用。该模型的一个独特之处在于,它基于液相中瞬态热传导和物质扩散方程的解析解,并考虑了再循环的影响。但是,将DC模型应用于化石燃料(可能包含数百种成分)在计算上非常昂贵。这些燃料的建模基于最近推出的多维拟离散(MDQD)模型。该模型用少得多的组分/准组分替换了柴油和汽油燃料中的大量组分,而不会丢失原始DC模型的主要特征。显示了MDQD模型可以准确预测液滴温度和蒸发时间,并且比DC模型具有更高的计算效率。总结和讨论了这些模型的主要特征及其在汽车油滴中的应用。

著录项

  • 作者

    Al Qubeissi M.; Sazhin S.S.;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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