首页> 外文会议>SAE International Powertrains, Fuels and Lubricants Meeting >Multi-Cycle Large Eddy Simulation (LES) of the Cycle-to-Cycle Variation (CCV) of Spark Ignition (SI) - Controlled Auto-Ignition (CAI) Hybrid Combustion in a Gasoline Engine
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Multi-Cycle Large Eddy Simulation (LES) of the Cycle-to-Cycle Variation (CCV) of Spark Ignition (SI) - Controlled Auto-Ignition (CAI) Hybrid Combustion in a Gasoline Engine

机译:火花点火(Si)控制自动点火(CAI)混合燃烧的循环到周期变化(CCV)的多周期大涡模拟(LES)在汽油发动机中的混合燃烧

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The spark ignition (SI) - controlled auto-ignition (CAI) hybrid combustion, also known as spark-assisted compression ignition (SACI), is achieved by utilizing the temperature and pressure rise from the early flame propagation induced by the spark-ignition to trigger the auto-ignition of the remaining unburned mixture. This hybrid combustion concept can be used to effectively extend the operating range of gasoline CAI combustion and achieve smooth transitions between SI and CAI combustion mode in gasoline engines. However, the significant cycle-to-cycle variation (CCV) of the SI-CAI hybrid combustion hinders the practical application of the hybrid combustion. In order to understand the cause of its high CCVs, the SI-CAI hybrid combustion process in a gasoline engine was studied in this study by the large eddy simulations (LES). The turbulence is modelled by the sub-grid k model. The spark ignition and subsequent flame propagation were modelled by the ECFM-3Z LES model. A tabulated database of the gasoline auto-ignition chemistry was coupled with the CFD simulations to depict the subsequent auto-ignition process of the unburned mixture after the initiation of flame propagation. The LES simulation was validated and applied to analyze the hybrid combustion process in a single cylinder engine at 1500 rpm and 5.43 bar IMEP, which was characterized with a coefficient of variation (COV) of 11.81% in IMEP. The LES simulations of 15 consecutive cycles were performed and analyzed to evaluate the potential of LES simulations to predict the CCV of SI-CAI hybrid combustion. The analysis of the LES simulation results indicates that the average thermal and compositional parameters are not the main reason for the cycle-to-cycle variations of the SI-CAI hybrid combustion. The temperature and residual gas fraction (RGF) in the spark zone is also very stable among different cycles. In comparison, the average velocity in the whole cylinder reduces from 7.8 m/s in the strong combustion cycle (Cycle 11) to 6.4 m/s in the weakest combustion cycle (Cycle 14) with 21.9% reduction, and the average velocity in the spark zone reduces from 6.3 m/s to 3.8 m/s with 60.3% reduction. Therefore, the variations of the in-cylinder flow velocity, especially around the spark plug, could be the main reason for the large variations of the hybrid combustion observed in the experiments.
机译:通过利用由火花点火引起的早期火焰传播的温度和压力升高,实现了Spark点火(Si)控制的自动点火(CAI)混合燃烧(CAI)混合燃烧,也称为火花辅助压缩点火(SACI)实现触发剩余的未燃烧混合物的自动点火。这种混合燃烧概念可用于有效地延长汽油CAI燃烧的操作范围,并在汽油发动机中实现Si和Cai燃烧模式之间的平滑转变。然而,Si-CAI杂交燃烧的显着循环变化(CCV)阻碍了混合燃烧的实际应用。为了了解其高CCV的原因,通过大涡模拟(LES)在本研究中研究了汽油发动机中的Si-Cai混合燃烧过程。湍流由子网格k模型建模。通过ECFM-3Z LES模型建模火花点火和随后的火焰传播。汽油自动点火化学的制表数据库与CFD模拟结合,以描绘在火焰繁殖后未燃烧混合物的随后的自动点火过程。验证了LES仿真,并应用于在1500rpm和5.43巴的单缸发动机中分析混合燃烧过程,其IMEP的特征在于IMEP中的11.81%的变异系数(COV)。对15个连续循环的LES模拟进行并分析,以评估LES模拟的潜力,以预测Si-Cai杂化燃烧的CCV。 LES仿真结果的分析表明,平均热和组成参数不是Si-CAI杂交燃烧循环变化的主要原因。在不同的循环中,火花区中的温度和残余气体馏分(RGF)也非常稳定。相比之下,整个汽缸中的平均速度在最弱的燃烧循环(循环11)中的7.8m / s中减少至最弱的燃烧循环(循环14),减少21.9%,并且平均速度火花区从6.3米/秒降低至3.8米/秒,减少60.3%。因此,缸内流速,特别是火花塞周围的变化可能是在实验中观察到的混合燃烧的大变化的主要原因。

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