涡扇发动机中与航线和季节相关的高压压气机效率退化的正向模型
A Forward Model for Route- and Season-Dependent High-Pressure Compressor Efficiency Deterioration in Turbofan Engines
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中文总结 AI 辅助
本文提出一种正向仿真框架，首次完整建立从环境颗粒暴露到高压压气机等熵效率损失的因果链，经CFM56-7B类涡扇发动机验证，可复现与航线季节相关的结垢退化规律。
中文摘要 AI 辅助
民用涡扇发动机每次飞越含颗粒的空气时，压气机效率都会下降，高压压气机（HPC）结垢是主要的可恢复性能损失机制。现有研究将环境颗粒暴露、叶排沉积和级性能退化视为独立问题，限制了对该问题的理解；级联叠加热方法需预先规定退化水平，而非从运行环境推导，未解决从航线条件到发动机性能的因果链问题。本文提出一种正向仿真框架，通过四个连续层传播与航线、季节、高度相关的颗粒暴露以填补该空白：（1）按飞行阶段解析的HPC入口剂量计算；（2）HPC的级间沉积；（3）沉积到退化的映射；（4）级热力学级联叠加热，得到整体结垢的HPC等熵效率。在特性类似CFM56-7B的典型民用高涵道比涡扇基准上进行验证，预测的退化里程碑在量级和时间尺度上与公开的在役支持数据集一致。结果再现了前级主导沉积、早期快速退化后渐近饱和，以及明显的航线和季节相关结垢行为。据作者所知，这是首个在单一可物理追踪的正向框架中，完成从运行解析的环境暴露到HPC整体等熵效率损失完整链条的模型。
英文摘要
Civil turbofan engines lose compressor efficiency every time they fly through particle-laden air. Fouling of the high-pressure compressor (HPC) is the dominant recoverable performance-loss mechanism. Existing studies treat environmental particle exposure, blade-row deposition and stage-performance deterioration as separate problems, which limits understanding of the issue. Stage-stacking approaches require deterioration levels to be prescribed rather than derived from the operating environment, leaving the causal chain from route conditions to engine performance unresolved. This paper presents a forward simulation framework that closes this gap by propagating route-, season-, and altitude-dependent particle exposure through four successive layers: (1) flight-phase-resolved HPC inlet dose calculation; (2) stage-wise deposition across the HPC; (3) deposition-to-deterioration mapping; and (4) stage thermodynamic stacking, yielding overall fouled HPC isentropic efficiency. Demonstrated on a representative civil high-bypass turbofan baseline with characteristics similar to the CFM56-7B, the predicted deterioration milestones are confirmed in magnitude and timescale against publicly available in-service support datasets. The results reproduce front-stage-dominated deposition, rapid early deterioration with asymptotic saturation, and clear route- and season-dependent fouling behaviour. To our knowledge, this is the first model that closes the complete chain from operationally resolved environmental exposure to the overall loss of HPC isentropic efficiency in a single physically traceable forward framework.
发表机构
- Cranfield University（克兰菲尔德大学）
- University of Oxford（牛津大学）
机构由 AI 辅助整理，请以论文原文为准。
