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DEVELOPMENT OF A PRACTICAL SOOT MODELING APPROACH AND ITS APPLICATION TO LOW-TEMPERATURE DIESEL COMBUSTION

机译:实用烟尘建模方法的开发及其在低温柴油机燃烧中的应用

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摘要

The author's developed a practical soot model and implemented in the multidimensional computational fluid dynamics code, KIVA-3vr2 for use in low temperature diesel combustion simulations. The model framework is based on four fundamental steps: soot inception through a four-ring poly cyclic aromatic hydrocarbon species, surface growth through acetylene, soot coagulation, and oxygen- and OH-induced soot oxidation. Diesel combustion was simulated by using a reduced n-heptane chemistry mechanism. A reduced poly cyclic aromatic hydrocarbon chemistry mechanism was formulated from the literature and coupled with the n-heptane mechanism. Improvements were made in the chemistry mechanism for better predictions of ignition delay, liftoff length and soot precursor concentrations. The CHEMKIN-II code was used to solve the combustion chemistry. However, in order to reduce the computational time of the coupled soot and chemistry calculations, a semi-implicit solver was also implemented and used for the soot precursor species. Soot model performance and computational efficiency was evaluated by comparing the model predictions with available optical spray chamber experimental data. The model performance was also evaluated by comparing the model predictions with experimental results from a heavy-duty optical engine as well as light- and heavy-duty metal engines.
机译:作者开发了一种实用的煤烟模型,并在多维计算流体动力学代码KIVA-3vr2中实现,用于低温柴油机燃烧模拟。该模型框架基于四个基本步骤:通过四环多环芳烃物种形成烟灰,通过乙炔进行表面生长,烟灰凝结以及氧和OH诱导的烟灰氧化。通过使用还原的正庚烷化学机理模拟柴油燃烧。从文献中提出还原的多环芳烃化学机理,并与正庚烷机理相结合。在化学机理方面进行了改进,以更好地预测点火延迟,提离长度和烟灰前体浓度。 CHEMKIN-II代码用于解决燃烧化学问题。但是,为了减少碳黑和化学耦合计算的计算时间,半隐式求解器也已实现并用于碳黑前体物质。通过将模型预测与可用的光学雾化室实验数据进行比较,评估了烟尘模型的性能和计算效率。通过将模型预测与重型光学引擎以及轻型和重型金属引擎的实验结果进行比较,还评估了模型性能。

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