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基于模型的涡扇发动机性能衰减评估

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为了获得涡扇发动机寿命期内各部件性能衰减程度与衰减趋势,基于发动机性能计算模型与部件特性衰减因子,采用序列二次优化算法对1台300 h持久试车的发动机各阶段部件性能衰减情况进行寻优计算.计算结果表明:模型计算结果与试验测量结果误差最大为4.33%,绝大部分参数误差在±2.0%范围;高压部件持久试车前期衰减,后期低压部件衰减较快,300 h试车后压气机与低压涡轮衰减最严重.
Model-based Performance Degradation Evaluation for Turbofan Engine
In order to obtain the performance degradation and degradation trend of each component in turbofan engine life cycle,sequential quadratic optimization algorithm based on engine performance calculation model and component degra-dation factors was used to optimize the performance degradation in each stage of a 300 hour long-term test engine.The calculation results show that the maximum error between the model calculation results and the experimental measurement results is 4.33%,and the error of most parameters is within±2.0%.In the earlier stage of long-term test,the high-pressure turbine and compressor decay,the low-pressure turbine and fan components decay faster in the later stage and the compressor and low-pressure turbine decay most seriously after 300 hours test.

turbofan engineperformance degradationdegradation factorssequential quadratic optimization algorithmlong-term test

赵伟辰、王晨、李兆红、杨怀丰、王军

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中国航发沈阳发动机研究所,辽宁沈阳 110066

涡扇发动机 性能衰减 衰减因子 序列二次优化算法 持久试车

两机重大专项基础研究项目

J2019-I-0004

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(2)
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