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首页> 外文期刊>SAE International Journal of Engines >Combustion Model for Biodiesel-Fueled Engine Simulations using Realistic Chemistry and Physical Properties
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Combustion Model for Biodiesel-Fueled Engine Simulations using Realistic Chemistry and Physical Properties

机译:使用现实化学和物理特性的生物柴油燃料发动机燃烧模型

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Biodiesel-fueled engine simulations were performed using the KIVA3v-Release 2 code coupled with Chemkin-II for detailed chemistry. The model incorporates a reduced mechanism that was created from a methyl decanoate/ methyl-9-decenoate mechanism developed at the Lawrence Livermore National Laboratory. A combination of Directed Relation Graph, chemical lumping, and limited reaction rate tuning was used to reduce the detailed mechanism from 3299 species and 10806 reactions to 77 species and 209 reactions. The mechanism was validated against its detailed counterpart and predicted accurate ignition delay times over a range of relevant operating conditions. The mechanism was then combined with the ERC PRF mechanism to include nheptane as an additional fuel component. The biodiesel mechanism was applied in KIVA using a discrete multi-component model with accurate physical properties for the five common components of real biodiesel fuel. A mixture of methyl decanoate and methyl-9-decenoate was used as the biodiesel surrogate to account for both the saturated and unsaturated components found in real biodiesel fuels. Non-reacting biodiesel spray experiments were reproduced using the KIVA model, and the KH-RT spray model constants were adjusted to improve the liquid penetration trend under varying density and temperature conditions. The complete biodiesel engine model was shown to adequately reproduce the pressure and heat release rate predictions of diesel engine combustion experiments fueled with a soy methyl ester biodiesel. These results show that the model gives accurate predictions of biofuel spray vaporization and combustion for these conditions. The current biodiesel model was also compared to a previous model and found to improve the magnitude of the NO_x prediction, as well as the trend of decreasing NO_x with increasing load.
机译:使用KIVA3v-Release 2代码和Chemkin-II进行生物柴油驱动的发动机模拟,以进行详细的化学分析。该模型包含了一种简化的机理,该机理是由劳伦斯·利弗莫尔国家实验室开发的癸酸甲酯/ -9-癸烯酸甲酯机理产生的。使用了有向关系图,化学集总和有限的反应速率调节的组合,可将详细机理从3299种和10806种反应减少到77种和209种反应。该机构已针对其详细的对等机构进行了验证,并预测了在一系列相关操作条件下的准确点火延迟时间。然后将该机理与ERC PRF机理结合起来,以庚烷为附加燃料成分。生物柴油机制在KIVA中使用了离散的多组分模型,该模型对真实生物柴油燃料的五个常见组分具有精确的物理特性。癸酸甲酯和9-癸烯酸甲酯的混合物用作生物柴油替代品,以说明在实际生物柴油燃料中发现的饱和和不饱和成分。使用KIVA模型重现了非反应性生物柴油喷雾实验,并调整了KH-RT喷雾模型常数以改善在不同密度和温度条件下的液体渗透趋势。完整的生物柴油发动机模型显示可以充分再现以大豆甲酯生物柴油为燃料的柴油发动机燃烧实验的压力和放热率预测。这些结果表明,该模型针对这些条件给出了生物燃料喷雾汽化和燃烧的准确预测。还将当前的生物柴油模型与先前的模型进行了比较,发现该模型可以提高NO_x预测的幅度,以及随负荷增加而降低NO_x的趋势。

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