论文标题
一个预测点火概率的统计模型
A statistical model to predict ignition probability
论文作者
论文摘要
点火能力是航空燃气轮机的关键设计限制。但是，当前的整体瘦燃烧趋势对发动机点火和重新构成有害，并且必须对点火系统进行调整，以确保在任何情况下都能快速可靠的光线。由于点火是一种随机现象，因此点火系统的优化需要构建点火概率图，这在实验或数值模拟中都是困难且昂贵的，因为两者都需要许多测试。这项工作提出了一个模型来预测点火概率图，仅知道在不反应条件下的流量统计，即只有一个测试。该模型的独创性是构建火焰内核轨迹的统计数据，然后将其与局部流量指标结合使用，以评估所考虑的火花位置的点火概率。应用于以预混合，未固定和喷雾燃烧模式操作的旋转燃烧器说明了模型概念，并证明了其以良好的精度恢复实验点火图的能力。
Ignition capability is a critical design constraint for aeronautical gas turbines. However the current trend toward overall lean burn is detrimental to the engine ignition and relight and the ignition system must be adapted to ensure a fast and reliable light-round in all circumstances. As ignition is a stochastic phenomenon, the optimization of an ignition system requires to build ignition probability maps, which is difficult and costly with either experiment or numerical simulation as both require many tests. This work proposes a model to predict the ignition probability map, knowing only flow statistics in non-reacting conditions, i.e., with only one test. The originality of the model is to construct statistics of the flame kernel trajectory, which are then combined with local flow indicators to evaluate the ignition probability at the considered sparking location. Application to a swirled burner operated in premixed, non-premixed and spray combustion modes illustrates the model concepts and demonstrates its ability to recover the experimental ignition map with good accuracy.
