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Experiments and Modeling of Adaptive Injection Strategies (AIS) in Low Emissions Diesel Engines

机译:低排放柴油机自适应喷油策略(AIS)的实验与建模

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Homogeneous Charge Compression Ignition (HCCI) has been shown as a promising technique for simultaneous NOx and soot reduction while maintaining diesel-like efficiency. Although HCCI has been shown to yield very low emissions levels, spray-wall impingement and high pressure rise rates can be problematic due to the early injection timings necessary for certain HCCI operations. To address spray-wall impingement, an Adaptive Injection Strategy (AIS) was employed. This strategy uses multiple pulses at both low and high injection pressures to prepare an optimal in-cylinder mixture. A unique Variable Pressure Pulse (VPP) was developed to investigate the AIS concept experimentally. The VPP has the capability of delivering multiple injections at both low and high injection pressures (-100 bar and -1000 bar respectively) through a single injector in the same engine cycle. Comparisons were made between model predictions and engine experiments using the VPP system. The models were able to adequately capture the emissions and performances trends observed in the experiments. This study uses engine experiments and a multidimensional CFD code coupled with detailed chemistry and a Multi-Objective Genetic Algorithm (MOGA), the KIVA-CHEMKIN-MOGA code, to explore the AIS concept. The computational optimization was performed at a high speed - light load operating condition (2000 rev/min and 5.5 bar IMEP) considering six objectives (NOx, soot, CO, HC, ISFC, and peak PRR) and seven parameters (IVC timing, EGR rate, fuel split, early injection timing, late injection timing, early injection pressure, and late injection pressure). The results show low pressure early injections are key to minimizing spray-wall impingement. Furthermore, a Pareto solution was found with near zero NOx and soot, a peak pressure rise rate of 6.3 bar/deg, and a net ISFC of 190 g/kW-hr.
机译:均质充量压缩点火(HCCI)已被证明是一种有前途的技术,可同时减少NOx和烟灰,同时保持类似柴油的效率。尽管已显示HCCI产生的排放量非常低,但由于某些HCCI操作所需的提前喷射正时,喷墙撞击和高压上升率可能会成问题。为了解决喷壁撞击问题,采用了自适应喷射策略(AIS)。该策略在低和高喷射压力下都使用多个脉冲来制备最佳的缸内混合物。开发了独特的可变压力脉冲(VPP)以通过实验研究AIS概念。 VPP能够在同一发动机循环中通过单个喷油器以低压和高压(分别为-100 bar和-1000 bar)进行多次喷射。使用VPP系统在模型预测和发动机实验之间进行了比较。这些模型能够充分捕获实验中观察到的排放和性能趋势。这项研究使用发动机实验,多维CFD代码,详细的化学方法以及多目标遗传算法(MOGA)KIVA-CHEMKIN-MOGA代码来探索AIS概念。考虑到六个目标(NOx,烟灰,CO,HC,ISFC和峰值PRR)和七个参数(IVC定时,EGR),在高速-轻载运行条件(2000转/分钟和5.5 bar IMEP)下进行了计算优化。速率,燃油分配,早期喷射正时,晚期喷射正时,早期喷射压力和晚期喷射压力)。结果表明,低压早期喷射是最大程度减少喷壁撞击的关键。此外,发现帕累托溶液的NOx和烟灰接近零,峰值压力上升速率为6.3 bar / deg,净ISFC为190 g / kW-hr。

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