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An empirical model for the ignition of explosively dispersed aluminum particle clouds

机译:爆炸性散布的铝颗粒云点火的经验模型

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摘要

An empirical model for the ignition of aluminum particle clouds is developed and applied to the study of particle ignition and combustion behavior resulting from explosive blast waves. This model incorporates both particle ignition time delay as well as cloud concentration effects on ignition. The total mass of aluminum that burns is found to depend on the model, with shorter ignition delay times resulting in increased burning of the cloud. After the Al particles ignite, a competition for oxidizer between the booster detonation products and Al ensues. A new mass-averaged ignition parameter is defined and is observed to serve as a useful parameter to compare cloud ignition behavior. Investigation of this variable reveals that both peak ignition as well as the time required to attain peak ignition, are sensitive to the model parameters. The peak degree of dissociation in the fireball is about 19 % and the associated energy can play a significant role on the dynamics of the problem. The peak degree of ionization is about 2.9 % and the energy associated with this is much lower than the other controlling factors. Overall, this study demonstrates that the new ignition model developed captures effects not included in other combustion models for the investigation of shock-induced ignition of aluminum particle clouds.
机译:建立了铝粒子云点火的经验模型,并将其用于研究爆炸冲击波引起的粒子点火和燃烧行为。该模型结合了粒子点火时间延迟以及云浓度对点火的影响。发现燃烧的铝的总质量取决于模型,点火延迟时间较短,导致云的燃烧增加。在Al粒子点燃后,助燃剂爆炸产物与Al之间发生了氧化剂竞争。定义了一个新的质量平均点火参数,并将其视为比较云点火行为的有用参数。对这个变量的研究表明,峰值点火以及达到峰值点火所需的时间都对模型参数敏感。火球中的最高解离度约为19%,并且相关的能量可以在问题的动态过程中发挥重要作用。离子化的峰值程度约为2.9%,与此相关的能量远低于其他控制因素。总的来说,这项研究表明,开发的新点火模型捕获了其他燃烧模型中未包括的影响,用于研究铝颗粒云的冲击诱导点火。

著录项

  • 来源
    《Shock Waves》 |2012年第6期|p.591-603|共13页
  • 作者单位

    Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA;

    Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA, 94551, USA;

    Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA;

    Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, 94720, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Blast wave; Turbulent mixing; Ignition; Dissociation; Ionization;

    机译:爆炸波;湍流混合;点火;离解;电离;

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