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A multipurpose reduced mechanism for ethanol combustion

机译:乙醇燃烧的多用途还原机制

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New multipurpose skeletal and reduced chemical-kinetic mechanisms for ethanol combustion are developed, along the same philosophical lines followed in our previous work on methanol. The resulting skeletal mechanism contains 66 reactions, only 19 of which are reversible, among 31 species, and the associated reduced mechanism contains 14 overall reactions among 16 species, obtained from the skeletal mechanism by placing CH3CHOH, CH2CH2OH, CH3CO, CH2CHO, CH2CO, C2H3, C2H5, C2H6, S - CH2, T - CH2, CH4, CH2OH, CH3O, HCO, and O in steady state. For the reduced mechanism, the steady-state relations and rate expressions are arranged so that computations can be made sequentially without iteration. Comparison with experimental results for autoignition, laminar burning velocities, and counterflow flame structure and extinction, including comparisons with the 268-step, 54-species detailed San Diego Mechanism and five other mechanisms in the literature, support the utility of the skeletal and reduced mechanisms, showing, for example, that, in comparison with the San Diego mechanism, they reduced the computational time by a factor of 4 (71 % faster) and 12 (93 % faster), respectively. Measures of computation times and of extents of departures from experimental values are defined and employed in evaluating results. Besides contributing to improvements in understanding of the mechanisms, the derived simplifications may prove useful in a variety of computational studies. (C) 2018 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
机译:沿着我们先前关于甲醇的工作所遵循的相同哲学思路,开发出了用于乙醇燃烧的新的多用途骨架和降低的化学动力学机制。生成的骨架机理包含31种反应中的66种反应,其中只有19种是可逆的,而相关的还原机理包含16种物质中的14种总体反应,这些反应是通过将CH3CHOH,CH2CH2OH,CH3CO,CH2CHO,CH2CO,C2H3放置于骨架机理而获得的,C2H5,C2H6,S-CH2,T-CH2,CH4,CH2OH,CH3O,HCO和O处于稳定状态。对于简化的机制,安排了稳态关系和速率表达式,以便可以顺序进行计算而无需迭代。与自燃,层流燃烧速度,逆流火焰结构和消灭的实验结果进行比较,包括与268步,54种详细的圣地亚哥机制和文献中的其他五种机制进行比较,支持骨骼机制和简化机制的效用,例如,表明与圣地亚哥机制相比,它们将计算时间分别减少了4倍(快71%)和12倍(快93%)。定义了计算时间和偏离实验值的程度的度量,并将其用于评估结果。除了有助于提高对机制的理解之外,派生的简化可能在各种计算研究中也很有用。 (C)2018年燃烧研究所。由Elsevier Inc.出版。保留所有权利。

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