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Efficient Automatic Reduction of Large Kinetic Mechanisms

机译:高效自动减少大型动力学机制

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摘要

The objective of the present study is to develop algorithms that can reduce automatically big detailed kinetic mechanisms to the smallest possible size quickly, efficiently, and accurately. The new algorithms developed host the Directed-Relation Graph-Generations based method, DRG-G. For further mechanism simplification, sensitivity analysis and unimportantreaction elimination were implemented. In the present work, an n-heptane mechanism comprising 561 species was reduced for temperatures in the range from 600 to 1800 K, pressures in the range from 1 to 50 atm, and equivalence ratios in the range from 0.5 to 1.5. The validation of the reduction was carried with respect to ignition-delay time. The mechanism was successfully reduced to 93 species and 295 reactions. Very good agreement between numerical results obtained with the skeletal and detailed mechanism, respectively, could be achieved.
机译:本研究的目的是开发算法,可以快速,有效,准确地减少自动大大细化动力机制到最小的尺寸。 新算法开发了基于方法DRG-G的定向关系图代代数。 有关进一步的机制,简化,实施了敏感性分析和不动于性的消除。 在本作工作中,将包含561种的N-庚烷机制降低,在600至1800k的温度范围内,从1至50atm的压力范围内的压力和0.5至1.5的等效比率。 减少的验证是关于点火延迟时间的。 该机制成功降至93种和295个反应。 可以实现与骨骼和详细机制获得的数值结果之间的非常好的同意,可以实现。

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  • 来源
    《Deutscher Flammentag》|2015年||共9页
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  • 作者

    Z. Shaheen; B. Rogg;

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  • 原文格式 PDF
  • 正文语种
  • 中图分类 TK16-53;
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  • 入库时间 2022-08-21 10:33:16

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