DOI: 10.57760/sciencedb.27122
title: Measured machining deviation data of aero-engine compressor blades
title: Measured machining deviation data of aero-engine compressor blades

description: The uncertainty in blade machining deviations leads to the offset in the average performance and the performance scatter of aero-engine compressors, posing a threat to the safe and stable operation of engines. Therefore, quantifying the uncertainty effects of machining deviations is critically important. However, due to factors such as prolonged inspection cycles and high costs, geometric data on blade machining deviations remain scarce, which in turn makes it impossible to support the accurate quantification of uncertainties. In the dataset, the measurement samples include 100 rotor blades, whose 13 equidistant sections’ (Hi, i=1, 2, …, 13) coordinates from the root to the tip of the blade are measured by the coordinate measuring machine. Firstly, carry out translation and rotation of the blade profile, so that the actual and the design basically coincide, and further obtain the position deviations, such as the deviation of the stagger angle. And then, by calculating the normal distance between the discrete point of the blade profile after translation and rotation and the design, the blade profile deviation can be obtained. Additionally, based on the iterative calculation of actual airfoil discrete points to obtain the mean line, the actual leading/trailing-edge radius and maximum thickness can be obtained, and corresponding deviations can be proposed compared with the design values. So, it presents 7 types of machining deviations in the following order: leading-edge radius (ΔRLE), trailing-edge radius (ΔRTE), maximum thickness (ΔRMax), chord length (Δc), pressure profile (ePP), suction profile (eSP), and stagger angle (Δθ), and a total of 9,100 pieces of data. It is worth noting that ePP and eSP represent that the maximum minus the minimum of the machining deviations of the pressure and suction profiles.
description: The uncertainty in blade machining deviations leads to the offset in the average performance and the performance scatter of aero-engine compressors, posing a threat to the safe and stable operation of engines. Therefore, quantifying the uncertainty effects of machining deviations is critically important. However, due to factors such as prolonged inspection cycles and high costs, geometric data on blade machining deviations remain scarce, which in turn makes it impossible to support the accurate quantification of uncertainties. In the dataset, the measurement samples include 100 rotor blades, whose 13 equidistant sections’ (Hi, i=1, 2, …, 13) coordinates from the root to the tip of the blade are measured by the coordinate measuring machine. Firstly, carry out translation and rotation of the blade profile, so that the actual and the design basically coincide, and further obtain the position deviations, such as the deviation of the stagger angle. And then, by calculating the normal distance between the discrete point of the blade profile after translation and rotation and the design, the blade profile deviation can be obtained. Additionally, based on the iterative calculation of actual airfoil discrete points to obtain the mean line, the actual leading/trailing-edge radius and maximum thickness can be obtained, and corresponding deviations can be proposed compared with the design values. So, it presents 7 types of machining deviations in the following order: leading-edge radius (ΔRLE), trailing-edge radius (ΔRTE), maximum thickness (ΔRMax), chord length (Δc), pressure profile (ePP), suction profile (eSP), and stagger angle (Δθ), and a total of 9,100 pieces of data. It is worth noting that ePP and eSP represent that the maximum minus the minimum of the machining deviations of the pressure and suction profiles.