猫耳形气膜孔的参数化设计与组合实验优化

孔型是提高气膜冷效的关键途径, 猫儿形气膜孔冷却效果好，但是构型复杂。基于Isight软件, 采用参数化建模优化猫儿形气膜孔。通过敏感性分析减少设计变量并缩小变量的取值范围，组合运用拉丁超立方法和均匀设计法构建实验样本，提高冷效预测代理模型的精度。结果表明：代理模型的冷效预测值与数值模拟的偏差小于1.0%。采用多岛遗传算法获得的优化孔的面平均冷效比参考孔提高了85.7%。采用实验方法测量结果显示，与参考孔相比，优化孔的面平均冷效提高了76%，横向冷效与中心线冷效与数值计算结果一致。

Parametric design and combined experiment optimization of Nekomimi film hole

The hole type is the key way to improve the film cooling effectiveness. Nekomimi film hole has good cooling performance but complicated configuration. The Isight software was used to optimize Nekomimi film hole through parametric modeling. Variable sensitivity was conducted to reduce variable dimensions and potential value ranges. The Latin hypercubic and the uniform design methods were both used to construct design sample space to improve the prediction accuracy of the surrogate model. Results show that the deviation of cooling efficiency between the surrogate model and the simulated computation is within 1.0%. An optimal hole obtained via the multi-island genetic algorithm has significant 85.7% improvement of surface averaged film cooling efficiency over the reference hole. The surface averaged cooling efficiency of the optima hole is increased by 76% compared to the reference hole, and the laterally and the centerline cooling efficiency are consistant with numerical results.