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Shape-optimization of round-to-slot holes for improving film cooling effectiveness on a flat surface

机译:圆孔到槽孔的形状优化,以提高平坦表面上的薄膜冷却效率

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摘要

Single-objective optimization for improving adiabatic film cooling effectiveness is performed for single row of round-to-slot film cooling holes on a flat surface by using CFD analysis and surrogate approximation methods. Among the main geometric parameters, dimensionless hole-to-hole pitch ( P / d ) and slot length-to-diameter ( l / d ) are fixed as 2.4 and 2 respectively, and the other parameters (hole height-to-diameter ratio, slot width-to-diameter and inclination angle) are chosen as the design variables. Given a wide range of possible geometric variables, the geometric optimization of round-to-slot holes is carried out under two typical blowing ratios of M  = 0.5 and M  = 1.5 by selecting a spatially-averaged adiabatic film cooling effectiveness between x / d  = 2 and x / d  = 12 as the objective function to be maximized. Radial basis function neural network is applied for constructing the surrogate model and then the optimal design point is searched by a genetic algorithm. It is revealed that the optimal round-to-slot hole is of converging feature under a low blowing ratio but of diffusing feature under a high blowing ratio. Further, the influence principle of optimal round-to-slot geometry on film cooling performance is illustrated according to the detailed flow and thermal behaviors.
机译:通过使用CFD分析和替代近似方法,对平坦表面上的单排圆形到槽式薄膜冷却孔进行了单目标优化,以提高绝热薄膜的冷却效率。在主要几何参数中,无因次孔距(P / d)和槽长与直径(l / d)分别固定为2.4和2,其他参数(孔高与直径之比) ,槽宽与直径以及倾斜角度)作为设计变量。给定各种可能的几何变量,通过在x / d =之间选择空间平均的绝热膜冷却效率,在M = 0.5和M = 1.5的两个典型吹炼比下对圆槽孔进行几何优化。 2和x / d = 12作为要最大化的目标函数。应用径向基函数神经网络构建替代模型,然后通过遗传算法搜索最优设计点。结果表明,最佳的圆缝槽孔在低吹风比下具有会聚特征,而在高吹风比下具有扩散特征。此外,根据详细的流动和热行为,阐述了最佳的槽缝几何形状对薄膜冷却性能的影响原理。

著录项

  • 来源
    《Heat and mass transfer》 |2018年第6期|1741-1754|共14页
  • 作者单位

    College of Energy and Power Engineering, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics;

    College of Energy and Power Engineering, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics,Collaborative Innovation Center of Advanced Aero-Engine;

    College of Energy and Power Engineering, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing University of Aeronautics and Astronautics;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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