航空发动机叶片冷却性能不确定性量化与影响机理：研究现状及挑战

张霄昕; 董一巍; 张怿; 高杰; 李洋; 刘松; 余毅; 郭文

doi:10.16080/j.issn1671-833x.25010183

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航空发动机叶片冷却性能不确定性量化与影响机理：研究现状及挑战

论坛 | 更新时间：2026-06-16

- 航空发动机叶片冷却性能不确定性量化与影响机理：研究现状及挑战
- 航空制造技术 2026年69卷第10期页码：89-111
- 作者机构：
  
  厦门大学，厦门 361005
  中国航发四川燃气涡轮研究院，成都 610500
  中国航发湖南动力机械研究所，株洲 412002
- 作者简介：
  
  董一巍，副教授，博士，研究方向为航空发动机高温部件设计与制造。
- 基金信息：
  
  国家自然科学基金(52475491;51705440);四川省科技计划(2025YFHZ0039;2026YFHZ0284);慧眼行动(A0DC5030);航空科学基金(20170368001;20230003068002;20240003068001)
- DOI：10.16080/j.issn1671-833x.25010183
  中图分类号： V231.1;TG316
- 收稿：2025-12-09，
  
  修回：2026-03-16，
  
  录用：2026-03-17，
  
  纸质出版：2026-05-15
- 稿件说明：
移动端阅览
引文格式：张霄昕，董一巍，张怿，等.航空发动机叶片冷却性能不确定性量化与影响机理：研究现状及挑战[J].航空制造技术，2026, 69（10）：25010183.

ZHANG Xiaoxin, DONG Yiwei, ZHANG Yi, et al. Research status and challenges of uncertainty and influence mechanism in cooling performance of aero-engine blades[J]. Aeronautical Manufacturing Technology, 2026, 69(10): 25010183.
引文格式：张霄昕，董一巍，张怿，等.航空发动机叶片冷却性能不确定性量化与影响机理：研究现状及挑战[J].航空制造技术，2026, 69（10）：25010183. DOI： 10.16080/j.issn1671-833x.25010183.

ZHANG Xiaoxin, DONG Yiwei, ZHANG Yi, et al. Research status and challenges of uncertainty and influence mechanism in cooling performance of aero-engine blades[J]. Aeronautical Manufacturing Technology, 2026, 69(10): 25010183. DOI： 10.16080/j.issn1671-833x.25010183.

摘要

现役先进航空发动机叶片在高温、高压、强扰动的服役环境下工作，其冷却性能直接关系到发动机的热效率与服役寿命。由于制造偏差与运行工况波动的存在，叶片实际冷却效果常偏离设计值，呈现出显著的不确定性特征，易导致冷却性能分散，甚至服役安全风险。因此，开展叶片冷却性能不确定性研究对提升发动机全寿命周期内的可靠运行具有重要意义。本文综述了制造过程与运行工况等方面导致的不确定性来源，包括铸造收缩、制孔偏差、吹风比波动和燃烧温度场非均匀性等典型因素；总结了不确定性建模与灵敏度分析的相关方法；探讨了几何、工况等偏差对冷却性能的影响机理与变化规律，并分析了其不确定性传播与冷却系统响应的耦合特性。最后，指出当前研究仍面临真实偏差统计不足、多源不确定性的耦合机理尚未完全揭示、基于不确定性的冷却稳健性设计方法仍待完善等挑战。未来需结合高精度实测技术、高维学习方法及多物理场仿真手段，深化不确定性的精准量化分析，构建多源耦合效应的冷却系统稳健性设计框架，以提升叶片全寿命周期内的冷却性能稳定性。

Abstract

Turbine blades in advanced in-service aero-engines operate under harsh conditions of high temperature

high pressure

and strong disturbance

and their cooling performance is directly related to the thermal efficiency and service life of the engine. Due to manufacturing deviations and operational condition fluctuations

the actual cooling effect of blades often deviates from the design value

exhibiting significant uncertainty characteristics

which can easily lead to dispersion of cooling performance and even safety risks during service. Therefore

conducting research on the uncertainty of blade cooling performance is of great significance for improving the reliable operation of the engine throughout its life cycle. This paper reviews the sources of uncertainty caused by manufacturing processes and operational conditions

including typical factors such as casting shrinkage

hole-drilling deviation

blowing ratio fluctuation

and combustion temperature field inhomogeneity. Relevant methods for uncertainty modeling and sensitivity analysis are summarized. The influence mechanism and variation law of geometric and operational deviations on cooling performance are explored

and the coupling characteristics between uncertainty propagation and cooling system response are analyzed. Finally

this paper identifies that current research still faces challenges

including insufficient statistics on real deviations

the coupling mechanism of multi-source uncertainties remaining not fully understood

and the need for improvement in cooling robustness design methods based on uncertainties. Future research should integrate high-precision measurement technology

high-dimensional learning methods

and multi-physics field simulation approaches to deepen the accurate quantitative analysis of uncertainties and establish a robustness design framework for cooling systems with multi-source coupling effects

thereby enhancing the stability of cooling performance throughout the entire life cycle of blades.

关键词

Keywords

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