航空发动机

王立文，霍金鉴，鲁鑫，刘强，唐杰.航空发动机积垢和在线清洗技术研究进展[J].航空发动机,2024,50(1):20-27

航空发动机积垢和在线清洗技术研究进展

Research Progress on Aeroengine Fouling and Online Cleaning Technology

DOI：

英文关键词:aeroengine particle deposition deposition model online washing droplet size jet system

基金项目:国家自然科学基金（U1933202）资助

作者	单位
王立文，霍金鉴，鲁鑫，刘强，唐杰	中国民航大学航空工程学院，天津 300300

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中文摘要:

随着中国民航事业的发展，航空发动机的经济性与安全性至关重要。压气机积垢是造成航空发动机性能降低的主要因素之一，发动机在线清洗是目前经济有效的除垢手段，积垢的清除效果与清洗系统参数密切相关。系统总结了发动机积垢机理和清除技术研究现状，分析评述了用于评估积垢效应的模型，考虑垢质颗粒运动过程中的聚合、破碎和表面侵蚀，进一步量化沉积效应和时间尺度，改进数值模拟过程、提高模型精度等方面尚需优化。同时对在线清洗参数和清洗时机进行了深入讨论，指出了不同在线清洗参数和清洗时机的清洗效果目前还处于初步研究阶段，还应加强对射流系统的喷雾覆盖范围、液滴尺寸和清洗频率的研究，建议在积垢程度、不同压气机尺寸和在线清洗经济性等方面进一步优化清洗工艺参数和清洗时机。

英文摘要:

With the development of China's civil aviation industry， the economy and safety of aeroengines are crucial. Compressor fouling is one of the main factors contributing to aeroengine performance deterioration. Online washing of engines is currently an economi? cal and effective method of descaling. The removal effect of fouling is closely related to the cleaning system parameters. This paper systematically summarizes the current research status of engine fouling mechanisms and removal technologies， and analyzes and reviews the models for fouling effects evaluation. Considering the aggregation， fragmentation， and surface erosion during the movement of foulant particles， the areas in need of optimization include further quantifying the deposition effect and time scale， improving the numerical simulation process， and improving the accuracy of the model， etc. Then the online cleaning parameters and cleaning timing are discussed in depth， and it is pointed out that the research on cleaning effects of different online cleaning parameters and cleaning timing are still in the preliminary stage. The research on the spray coverage， droplet size， and cleaning frequency of the jet system should also be strengthened. It is recommended to further optimize the cleaning process parameters and cleaning timing based on the degree of fouling， different compressor sizes， and online cleaning economy.

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