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

该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通道（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中的缺陷成分联系起来。该子项目的目的是将自动缺陷检测方法应用于具有定义缺陷的民用涡轮风扇发动机并进行验证。这允许在喷气发动机的真实的操作条件下进行缺陷检测而无需拆卸。

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.