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Reduction of large-size combustion mechanisms of n-decane and n-dodecane with an improved sensitivity analysis method
Combustion and Flame ( IF 5.8 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.combustflame.2020.08.052
Shuanghui Xi , Jie Xue , Fan Wang , Xiangyuan Li

Abstract n-decane and n-dodecane are important components in transport fuels and detailed combustion mechanisms with a large number of species and reactions applicable to combustion over a wide range of conditions have been developed. DRGASA and DRGEPSA are usually capable of achieving compact skeletal mechanisms, but they are too expensive since species are deleted in a one-by-one manner. An improved sensitivity analysis (SA) method is proposed in this work for skeletal mechanism reduction of large mechanisms. In this method pairs of strongly-coupled species are identified firstly and strongly-coupled species are treated like single species. In addition, species are deleted in an incremental manner in the improved SA method based on their sensitivity coefficients. Computational cost of this method is reduced significantly compared with the traditional SA methods. This improved SA method is employed to reduce the detailed mechanism of n-decane and n-dodecane with 2115 species and 8157 reactions. A skeletal mechanism with 126 species for n-decane obtained from a large size mechanism with 279 uncertain species and a skeletal mechanism with 162 species for n-dodecane based on a large size mechanism with 377 uncertain species are achieved with the improved SA. The skeletal mechanisms are further verified by comparing their important combustion characteristics with those of the detailed mechanism as well as experimental results. Our results show that the skeletal mechanisms can provide reasonable results compared with the detailed mechanisms. This indicates that the improved SA method is applicable to reduction of large-size mechanisms and compact and reliable skeletal mechanisms can be obtained.

中文翻译:

用改进的灵敏度分析方法减少正癸烷和正十二烷的大尺寸燃烧机制

摘要 正癸烷和正十二烷是运输燃料中的重要成分,已经开发出详细的燃烧机制,具有大量种类和反应,可在广泛的条件下燃烧。DRGASA 和 DRGEPSA 通常能够实现紧凑的骨架机制,但它们太昂贵了,因为物种是以一一方式删除的。在这项工作中提出了一种改进的灵敏度分析 (SA) 方法,用于减少大型机构的骨架机构。在该方法中,首先确定强耦合物种对,然后将强耦合物种视为单一物种。此外,在改进的 SA 方法中,基于其敏感性系数以增量方式删除物种。与传统SA方法相比,该方法的计算成本显着降低。这种改进的 SA 方法用于减少正癸烷和正十二烷的详细机理,有 2115 个物种和 8157 个反应。使用改进的 SA 实现了从具有 279 个不确定物种的大尺寸机制获得的具有 126 个物种的正癸烷的骨架机制和基于具有 377 个不确定物种的大尺寸机制获得的正十二烷的 162 个物种的骨架机制。通过将它们的重要燃烧特性与详细机制以及实验结果进行比较,进一步验证了骨架机制。我们的结果表明,与详细机制相比,骨架机制可以提供合理的结果。
更新日期:2020-12-01
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