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Algorithms for improving accuracy of spray simulation

机译:改善喷雾模拟精度的算法

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Fuel spray is the pivotal process of direct injection engine combustion. The accuracy of spray simulation determines the reliability of combustion calculation. However, the traditional techniques of spray simulation in KIVA and commercial CFD codes are very susceptible to grid resolution. As a consequence, predicted engine performance and emission can depend on the computational mesh. The two main causes of this problem are the droplet collision algorithm and coupling between gas and liquid phases. In order to improve the accuracy of spray simulation, the original KIVA code is modified using the cross mesh droplet collision (CMC) algorithm and gas phase velocity interpolation algorithm. In the constant volume apparatus and D.I. diesel engine, the improvements of the modified KIVA code in spray simulation accuracy are checked from spray structure, predicted average drop size and spray tip penetration, respectively. The results show a dramatic decrease in grid dependency. With these changes, the distorted phenomenon of spray structure is vanished. The uncertainty in predicted average drop size is reduced from 30 to 5 urn in constant volume apparatus calculation, and the uncertainty is further reduced to 2 mu m in an engine simulation. The predictedspray tip penetrations in engine simulation also have better consistency in medium and fine meshes.
机译:燃油喷雾是直喷式发动机燃烧的关键过程。喷雾模拟的准确性决定了燃烧计算的可靠性。但是,KIVA和商业CFD代码中的传统喷雾模拟技术非常容易受到网格分辨率的影响。结果,预测的发动机性能和排放可能取决于计算网格。这个问题的两个主要原因是液滴碰撞算法以及气相和液相之间的耦合。为了提高喷雾模拟的准确性,使用交叉网格液滴碰撞(CMC)算法和气相速度插值算法对原始KIVA代码进行了修改。在定容设备和D.I.对于柴油发动机,分别从喷雾结构,预测的平均液滴尺寸和喷嘴尖端渗透率检查了改进的KIVA代码在喷雾模拟精度方面的改进。结果表明,网格依赖性显着降低。随着这些变化,喷雾结构的扭曲现象消失了。在定容设备计算中,预测的平均液滴尺寸的不确定性从30 um减少到5 um,在发动机仿真中,不确定性进一步降低到2μm。在发动机模拟中,预计的喷雾尖端渗透率在中细网格中也具有更好的一致性。

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