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AN ENERGY-BASED METHOD FOR PREDICTING THE ADDITIVE EFFECT OF MULTIPLE FILM COOLING ROWS

机译:一种基于能量的方法,用于预测多膜冷却行的添加剂效应

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There have been numerous studies reporting film effectiveness for film rows in isolation, which have led to correlations which are used for preliminary design. Many applications require multiple film cooling rows. Although there is some published data which deals with the combined effect of multiple rows, in most design situations the additive effect is computed using correlations for single rows. The most widely used method is the Sellers superposition method. In many applications the method gives accurate results. Although the method is to some extent physically based, energy is not conserved within the model, and in certain situations this limitation can be shown to lead to an under-prediction of the film effectiveness. In this paper, a new energy-based method for predicting the additive effect of multiple film cooling rows is outlined. The physical basis and limitations of the model are discussed. Predictions conducted using the new method are compared with CFD data and contrasted with the Sellers method. In situations where energy conservation is required to avoid under-prediction of effectiveness the method is shown to be advantageous.
机译:已经有许多研究报告薄膜行的薄膜效果隔离,这导致了用于初步设计的相关性。许多应用需要多个胶片冷却行。尽管存在一些已发布的数据,但是涉及多行的组合效果,但在大多数设计情况下,使用单行的相关性计算添加效果。最广泛使用的方法是卖家叠加方法。在许多应用中,该方法提供了准确的结果。尽管该方法是在某种程度上基于物理基础,但在模型内不保守能量,并且在某些情况下,可以示出这种限制以导致膜效果的欠预测。本文概述了一种新的基于能量的方法,用于预测多膜冷却行的添加剂效果。讨论了模型的物理基础和局限性。使用新方法进行的预测与CFD数据进行比较并与卖方方法形成对比。在需要节能以避免效果的预测所需的情况下,该方法被证明是有利的。

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