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AERO-THERMAL COUPLED PREDICTIVE MODEL FOR PRELIMINARY GAS TURBINE BLADE COOLING ANALYSIS

机译:燃气轮机叶片冷却的气热耦合预测模型

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The turbine inlet temperature has been increasing over the years to improve gas turbine efficiency and specific power. Blade cooling technology is essential to keep component temperatures below their critical value, and this makes the aero-thermal coupled phenomenon more significant. Blade life assessment is closely related to blade metal temperature distribution and gradients, and blade cooling analysis is always considered starting from the preliminary design stage. However, traditional blade cooling analysis for preliminary design is always based on external boundary conditions determined by experience, which affects the prediction accuracy as the interaction effect between the main flow and coolant is not considered. In this paper, an aero-thermal coupled blade cooling model is further developed by combining the improved streamline curvature method with a one-dimensional thermo-fluid network. This model is capable of predicting blade surface temperature distribution and internal coolant flow conditions in the preliminary phase of blade cooling design with a limited amount of input information. Experimental data for the NASA C3X profile with film cooling was selected for validation. In addition, a sensitivity analysis was performed on different film cooling mass flow rates to demonstrate the model flexibility for different boundary conditions.
机译:多年来,涡轮进口温度一直在提高,以提高燃气轮机的效率和比功率。叶片冷却技术对于使组件温度保持在其临界值以下至关重要,这使得气热耦合现象更加显着。叶片寿命评估与叶片金属温度分布和梯度密切相关,并且始终从初步设计阶段就开始考虑叶片冷却分析。但是,用于初步设计的传统叶片冷却分析始终基于经验确定的外部边界条件,这会影响预测精度,因为未考虑主流与冷却剂之间的相互作用。本文通过将改进的流线曲率方法与一维热流体网络相结合,进一步开发了一种气热耦合叶片冷却模型。该模型能够在输入信息量有限的情况下,预测叶片冷却设计初期的叶片表面温度分布和内部冷却剂流动状况。选择具有薄膜冷却功能的NASA C3X轮廓的实验数据进行验证。此外,对不同的薄膜冷却质量流量进行了敏感性分析,以证明模型在不同边界条件下的灵活性。

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