Modelling Gas Turbine Blade Degradation in a High Fidelity Digital Twin

燃气轮机中的热叶片在极其恶劣的环境中运行。虽然所使用的材料是根据它们在这种环境中的生存能力来选择的，但环境是这样的，叶片会随着时间的推移而退化，当发动机的运行条件和吸入的污染物水平发生变化时，这可能会对叶片的预计寿命产生不利影响。这降低了设备供应商和用户的可靠性并增加了成本。因此，该项目将寻求提高对燃气轮机叶片基材和涂层腐蚀和氧化机理以及用于描述它们的模型的了解。这些模型将用于高保真数字双胞胎，以复制涡轮叶片退化对燃气轮机性能和使用寿命的影响。特别是，西门子工业透平机械公司正在为他们的燃气轮机开发数字孪生兄弟，以提高其性能，并根据特定燃气轮机的制造、运行历史和以前的维修进行定制维护。这样的数字双胞胎远远超出了传统的记录保存，涉及开发不同模型的工具包(与克兰菲尔德大学和剑桥大学等合作伙伴)。

The hot blades in a gas turbine operate within an extremely hostile environment. Whilst the materials used are selected on the basis of their ability to survive in this environment the environment is such that blades degrade with time and when the operating conditions of the engine and levels of contaminants ingested change this can adversely alter the predicted life time of the blades. This leads to reduced reliability and greater costs for the equipment supplier and user. The project will therefore seek to improve understanding of gas turbine blade base material and coating corrosion and oxidation mechanisms and the models used to describe them. The models will be used in a high fidelity digital twin to replicate turbine blade degradation on gas turbines performance and service life. In particular, Siemens Industrial Turbomachinery is developing digital twins for their gas turbines to improve their performance and to tailor maintenance to a particular gas turbine's manufacture, operating history and previous repair. Such digital twins go far beyond conventional record keeping, and involve the development of a toolkit of different models (with partners including Cranfield University and the University of Cambridge).