【摘要】 基于扇形孔的实验数据，提出了一种预测气膜冷却效率的新关联式。综合考虑孔形参数和孔内外流动条件对气膜冷却效率的影响，构建关联式特征系数的代理模型。结果表明：通过实验设计(DOE)获得的优化孔与采用特征系数代理模型获得的优化孔的气膜冷却效率和最优孔形参数基本一致；应用新关联式加速气膜孔形的多置信度优化或优化多气膜孔阵列的具体布局具有显著的工程应用价值。更多还原

【Abstract】 Based on the experimental data of fan-shaped holes, a new correlation for predicting film cooling effectiveness was proposed. Considering the influences of hole shape parameters and flow conditions inside and outside the hole on film cooling effectiveness, a surrogate model of correlation characteristic coefficient was built. Results show that the film cooling effectiveness and optimal hole shape parameters of the optimized holes obtained through experimental design(DOE) are basically consistent with those obtained by the surrogated correlation model. The application of the new correlation to accelerate the multi confidence optimization of film cooling hole shape, or to optimize the specific layout of multi film cooling hole arrays has significant engineering application value.更多还原