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A New Scaling Method for Component Maps of Gas Turbine Using System Identification

机译:基于系统辨识的燃气轮机零件图缩放新方法。

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摘要

A scaling method for characteristics of gas turbine components using experimental data or partially given data from engine manufacturers was newly proposed. In case of currently used traditional scaling methods, the predicted performance around the on-design point may be well agreed with the real engine performance, but the simulated performance at off-design points far away from the on-design point may not be well agreed with the real engine performance generally. It would be caused that component scaling factors, which were obtained at on-design point, is also used at all other operating points and components' maps are derived from different known engine components. Therefore to minimize the analyzed performance error in the this study, first components' maps are constructed by identifying performances given by engine manufacturers at some operating conditions, then the simulated performance using the identified maps is compared with performances using currently used scaling methods. In comparison, the analyzed performance by the currently used traditional scaling method was well agreed with the real engine performance at on-design point but had maximum 22% error at off design points within the flight envelope of a study turboprop engine. However, the performance result by the newly proposed scaling method in this study had maximum 6% reasonable error even at all flight envelope.
机译:提出了一种利用实验数据或发动机制造商提供的部分数据对燃气轮机部件的特性进行缩放的方法。在当前使用的传统缩放方法的情况下,在设计点附近的预测性能可能与实际引擎性能完全吻合,但是在远离设计点的非设计点的模拟性能可能未得到很好的吻合具有真实的发动机性能。可能会导致在设计点获得的零部件比例因子也用于所有其他工作点,并且零部件图来自不同的已知发动机零部件。因此,为了使本研究中分析出的性能误差最小,首先通过确定发动机制造商在某些工况下的性能来构造第一零部件的图,然后将使用识别出的图的模拟性能与使用当前使用的缩放方法的性能进行比较。相比之下,通过当前使用的传统比例缩放方法分析的性能与实际发动机在设计时的性能非常吻合,但在研究涡轮螺旋桨发动机的飞行范围内,在非设计时的最大误差为22%。然而,本研究中新提出的缩放方法的性能结果即使在所有飞行包线下也具有最大6%的合理误差。

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