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Computer simulations and experiments of normal and branched alkane adsorption in complex carbonaceous materials

机译:复合碳质材料中正常和支链烷烃吸附的计算机仿真及实验

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Carbonaceous engine deposits are porous materials that are known to accumulate on the inner surfaces of spark-ignition engines and have been linked to impaired engine performance]!]. One possible mechanism by which this occurs is selective adsorption of fuel components in the deposits, reducing the effective octane number of the fuel. In other proposed mechanisms deposits provide catalytic sites, altering the combustion reaction, and act as thermal hotspots, leading to premature ignition of the fuel mixture. Since in each-of these cases the porous structure of the deposits plays a key role, it is important to develop a systematic approach to characterize this structure. In recent publications we have proposed a variant of the typical model for the characterisation of activated carbons that combines predictive molecular simulations with a limited number of experimental isotherms to determine the internal structure of these carbonaceous deposits[2, 3], This characterisation has then been used to show that selective adsorption of key fuel components is a feasible cause for degradation in the engine performance^, 3]. We outline in greater detail the systematic development of this model, reiterate on the findings of these studies, and examine the sensitivity and robustness of the model.
机译:碳质发动机沉积物是已知在火花点火发动机的内表面上积聚的多孔材料,并且已与发动机性能受损相关]​​!]。发生这种情况的一种可能的机制是选择性地吸附沉积物中的燃料成分,减少了燃料的有效辛烷值。在其他提出的机制中,沉积物提供催化位点,改变燃烧反应,并充当热热点,导致燃料混合物过早点火。由于在这些情况下,沉积物的多孔结构起着关键作用,重要的是开发一种系统方法来表征这种结构。在最近的出版物中,我们提出了典型模型的变体,用于表征活性碳的特征,其将预测分子模拟与有限数量的实验等温线相结合以确定这些碳质沉积物的内部结构[2,3],此表征已经存在用于表明,关键燃料组件的选择性吸附是发动机性能下降的可行原因^,3]。我们更详细地概述了该模型的系统发展,重申了这些研究的结果,并检查了模型的敏感性和鲁棒性。

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