The formation of a scale on a compressor blade surface is inevitable, and the study of the distribution of the scale can provide effective guidance for the cleaning of a wing engine. Using the waste liquid collected from the engine during the wing water washing process as a data sample, the main components of compressor blade surface fouling were analysed, which included 49.9% SiO2, 14.5% FeO, 11.5% Al2O3, 9.4% CaO, etc. Based on JKR contact theory, a model for calculating the total thickness of the fouling layer on the blade surface was established. Through a simulation experiment on the fouling of a blade surface, the number of particulates deposited on the pressure surface was lower than the amount of the secondary deposition mass on the suction surface. From contrastive analysis of the results of perforation, the fouling is divided into three types: loose, dense, and transitional. The surface of a single blade can be divided into four different fouling areas. The parameters of the engine cleaning process can be designed according to the characteristics of the fourth area.

中文翻译：

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压气机叶片污垢分布趋势的实验研究

压气机叶片表面水垢的形成是不可避免的，对水垢分布的研究可以为机翼发动机的清洗提供有效的指导。以机翼水洗过程中收集的发动机废液为数据样本，分析了压气机叶片表面污垢的主要成分，其中SiO2 49.9%、FeO 14.5%、Al2O3 11.5%、CaO 9.4%等。基于JKR接触理论，建立了计算叶片表面污垢层总厚度的模型。通过对叶片表面污垢的模拟实验，沉积在压力表面的颗粒数量低于吸力表面的二次沉积质量。从穿孔结果对比分析，污垢分为松散型、密集型和过渡型三种。单个叶片的表面可分为四个不同的污垢区域。发动机清洗工艺参数可根据第四区的特点进行设计。