Evaluation of the Condition of a Jet Engine through Exhaust Jet Analysis (A03)

子项目使用光学背景定向纹影(BOS)方法来研究喷气发动机热气路(HGP)中的缺陷部件对排气射流密度分布的影响。通过数值模拟和模式识别算法，将密度分布与HGP中的缺陷元件联系起来。这个子项目的目的是将自动缺陷检测方法应用于有明确缺陷的民用涡扇发动机，并进行验证。这允许在喷气发动机的实际运行条件下不拆卸地检测缺陷。

The sub-project uses the optical Background-Oriented Schlieren (BOS) method to investigate the influence of defective components in the hot-gas path (HGP) of jet engines on the density distribution of the exhaust jet. The density distribution is linked to the defective component in the HGP by means of numerical simulations and pattern recognition algorithms. The aim of this sub-project is the application and validation of the automated defect detection methodology to a civil turbofan engine with defined defects. This allows for defect detection without disassembly under real operation conditions of the jet engine.