Based on the aeroengine lubricating oil system test bench, this paper used a dimensional analysis method to establish a mathematical model for predicting the separation efficiency and resistance of a dynamic pressure oil-air separator suitable for engineering. The analysis of the multivariate nonlinear fitting error and the experimental data showed that the established separation efficiency and resistance model could accurately predict the separation and resistance performance of the dynamic pressure oil-air separator within a certain range; the average error of the four separation characteristic prediction models was 3.5%, and the maximum error was less than 16%. The model that was established by the least square method had the highest accuracy; the average error of the multivariate nonlinear fitting of the four resistance characteristic prediction models was less than 4%, and the maximum error was less than 15%, which could be used to predict the resistance performance of the separator. The applicable working condition of the model is lubricating oil flow rate 4.3~8.5 L/min and oil-air ratio 0.5~3.

中文翻译：

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动态压力油气分离器性能预测模型

在航空发动机润滑油系统试验台的基础上，采用尺寸分析方法建立了数学模型，预测了适用于工程的动压油气分离器的分离效率和阻力。对多元非线性拟合误差和实验数据的分析表明，所建立的分离效率和阻力模型可以在一定范围内准确预测动压油气分离器的分离和阻力性能。四个分离特征预测模型的平均误差为3.5％，最大误差小于16％。用最小二乘法建立的模型精度最高。四个电阻特性预测模型的多元非线性拟合的平均误差小于4％，最大误差小于15％，可用于预测隔板的电阻性能。该模型适用的工作条件是润滑油流量为4.3〜8.5 L / min，油空比为0.5〜3。