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Development of an aero engine life prediction methodology for preliminary design multi-disciplinary optimisation assessments

机译:开发Aero发动机寿命预测方法,用于初步设计多学科优化评估

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摘要

A methodology for preliminary aero engine life prediction based on the life estimation of high-pressure turbine blades and discs is presented. It features in Cranfield University's Techno-economic Environmental Risk Assessment (TERA) framework which shall help to realise the complex and challenging requirements on novel propulsion system integration specified in the 2050 Strategic Research & Innovation Agenda (SRIA) goals. The TERA tool is based on detailed and rigorous thermodynamic representations of power plants, integrated with other appropriate models including aircraft performance, engine emissions prediction, weight, dimensions and life prediction. It is capable of rapidly exploring the design space for multi-disciplinary and multi-objective optimisation, such as assessing trade-offs between minimum mission fuel burn and maximum engine life. Since not all engines within a fleet of engines perform equally, for example due to manufacturing tolerances, engine deterioration, and hence life, is assumed to be scattered. The herein proposed methodology describes common engine failure mode calculations based on component stress and temperature in terms of random variables. Thereby it is possible to account for the population of engines within failure mode calculations. The methodology is applied to a typical TERA case for a reference aircraft and engine combination. The influence of different ambient conditions and mission ranges on engine life is under investigation. It was possible to calibrate the design life of the reference engine using the proposed methodology. Furthermore, qualitative trends in engine life were observed.
机译:提出了一种基于高压涡轮叶片和盘的寿命估计的初步Aero发动机寿命预测方法。 Cranfield大学技术经济环境风险评估(TERA)框架的特点,这将有助于实现2050年战略研究和创新议程(SRIA)目标中规定的新推进系统集成的复杂和挑战性要求。 TERA工具基于发电厂的详细和严格的热力学表示,与其他适当的模型集成,包括飞机性能,发动机排放预测,重量,尺寸和寿命预测。它能够快速探索多学科和多目标优化的设计空间,例如评估最低任务燃料燃烧和最大发动机寿命之间的权衡。由于并非所有发动机内的所有发动机同样执行,例如由于制造公差,发动机劣化,并且寿命,被认为被散射。本文提出的方法描述了基于随机变量的分量应力和温度的公共发动机故障模式计算。因此,可以考虑故障模式计算中的发动机群。该方法应用于参考飞行器和发动机组合的典型TERA案例。不同环境条件和任务范围对发动机寿命的影响是在调查中进行的。可以使用所提出的方法校准参考发动机的设计寿命。此外,观察到发动机寿命的定性趋势。

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