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Efficient Combustion Modelling in RCCI Engine with Detailed Chemistry

机译:具有详细化学的RCCI发动机高效燃烧建模

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Low temperature combustion (LTC) has been considered as a promising combustion technology in internal combustion engine due to its higher thermal efficiency and lower emission than the conventional combustion engines. Among LTC engines, reactivity controlled compression ignition (RCCI) engine draws tremendous attention of engines researchers because of its super high efficiency and near-zero emissions. Featuring by high fuel variety and high combustion phase controllability, RCCI engine needs to be designed and tested by computational fluid dynamics (CFD) models to rapidly and inexpensively achieve combustion control. Hence, computational time is one of major concerns. Instead of the most commonly used CHEMKIN solver, this study proposed a faster hybrid model for the combustion modelling in RCCI engine. In the light of the basic idea of characteristic time-scale (CTC) of achieving species equilibrium in high temperature, this model basically uses CTC in high temperature combustion and CHEMKIN in low-intermediate temperature combustion. A CEQ solver for species equilibrium calculation at certain temperature, pressure was integrated with CTC for detailed chemistry calculation. Then this combustion model was coupled in KIVA4 and validated in a RCCI engine. The predicted in-cylinder pressure and heat release rate (HRR) show a good consistency with both the data from experiment and CHEMKIN. More importantly, it is observed that this model could save about 20% computational time compared with CHEMKIN due to less stiff ordinary differential equations (ODEs) computation.
机译:由于其比传统的燃烧发动机更高的热效率和降低发射,低温燃烧(LTC)被认为是内燃机中的有希望的燃烧技术。在LTC发动机中,由于其超高效和近零排放,反应性控制压缩点火(RCCI)发动机引起了引擎研究人员的巨大关注。通过高燃料品种和高燃烧相控制性,RCCI发动机需要通过计算流体动力学(CFD)模型来设计和测试,以便快速,廉价地实现燃烧控制。因此,计算时间是主要问题之一。该研究代替最常用的Chemkin求解器,而是用于RCCI发动机中的燃烧建模的更快的混合模型。鉴于在高温下实现物种平衡的特征时间尺度(CTC)的基本思想,该模型基本上在低中间温度燃烧中使用高温燃烧和Chemin中的CTC。用于物种平衡计算的CEQ求解器在一定温度下,压力与CTC集成,以进行详细的化学计算。然后,该燃烧模型在Kiva4中耦合并在RCCI发动机中验证。预测的缸内压力和热释放速率(HRR)显示了来自实验和Chemin的数据的良好一致性。更重要的是,由于常见常见差分方程(ODES)计算较小,与Chemin相比,该模型可以节省大约20%的计算时间计算时间。

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