轴流压气机叶片热清洗模拟方法建立及试验验证OA
Establishment and experimental verification of a simulation method for thermal cleaning of axial compressor blades
针对海洋大气环境下航空发动机压气机的盐雾沉积问题,采用数值模拟方法系统研究了盐雾粒子运动沉积规律及热清洗效果.通过离散相模型(discrete phase model,DPM)分析了不同粒径盐雾的沉积特性,并利用VOF-to-DPM耦合模型与欧拉壁膜模型模拟了清洗液雾化、撞击及成膜过程.研究发现,盐雾沉积主要集中于叶盆、叶根区域,总覆盖率最高达31.38%;热清洗后叶片表面总清洗覆盖率为32.32%,其中大叶片叶盆区域覆盖率最高,达63.18%,而叶背及叶根区域清洗效果较差.试验验证表明,仿真中清洗液滴覆盖位置在试验中均被清洗,证明了所建立的热清洗方法的有效性,研究结果为优化在线清洗方案提供了理论依据.
To address salt spray deposition in aero engine compressors in marine atmospheric environments,the motion and deposition characteristics of salt spray particles,as well as the effectiveness of thermal cleaning,were systematically investigated using numerical simulation.The deposition characteristics of salt spray with different particle sizes were analyzed using the DPM(discrete phase model),while the atomization,impingement,and film formation processes of the cleaning liquid were simulated using a coupled VOF-to-DPM model and the Eulerian wall film model.The results show that salt spray deposition is mainly concentrated in the blade pressure surface and root regions,with a maximum total coverage of 31.38%.After thermal cleaning,the total cleaning coverage on the blade surface reaches 32.32%,with the highest coverage observed in the pressure surface of large blades(63.18%),whereas the suction surface and blade root regions exhibit poorer cleaning performance.Experimental verification demonstrates that the positions where cleaning droplets are predicted to cover in the simulation are all cleaned in the experiments,confirming the effectiveness of the thermal cleaning method established.These findings provide a theoretical basis for optimizing online cleaning strategies.
武威;金洪江;姚婷;姚玉东;田晶
中国航发南京航空动力有限责任公司 产品研发中心,南京 210016中国航发南京航空动力有限责任公司 产品研发中心,南京 210016中国航发南京航空动力有限责任公司 产品研发中心,南京 210016西北工业大学 动力与能源学院,西安 710072沈阳航空航天大学 航空发动机学院,沈阳 110136
航空航天
轴流压气机叶片盐雾沉积热清洗仿真模拟热清洗实验
axial compressor bladessalt spray depositionthermal cleaningnumerical simulationthermal cleaning experiment
《沈阳航空航天大学学报》 2026 (3)
27-35,9
辽宁省国际科技合作计划项目资助项目(项目编号:2025JH2/101900009).
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