Automatic measurement planning method for turbine blades

Abstract

The invention relates to a technology in the field of turbine blade profile measurement. The method comprises the following steps of: firstly, carrying out uniform mesh generation on a curved surfaceprofile of a turbine blade, extracting uniformly distributed point clouds to be measured from a turbine blade design model, and then fitting a local tangent plane to calculate normal vectors of the points to be measured; conducting kinematics modeling on a measuring machine tool, conducting kinematics inverse solution through the coordinates and normal vectors of the points to be measured, so as to obtain the normal measuring posture of each point to be measured; converting the planning problem of the measurement sequence of the to-be-measured points into an optimization problem with the optimization objective to realize shortest machine tool movement time in the measurement process, and performing optimization through an ant colony algorithm; and finally, automatically generating a measurement program according to the normal measuring postures and the measurement sequence of the points to be measured, executing turbine blade profile measurement, and analyzing a measurement result intoactual measurement point clouds according to a machine tool structure. According to the method of the invention, the measurement precision is improved, and the measurement time is shortened.

Description

technical field [0001] The invention relates to a technology in the field of turbine blade profile measurement, in particular to a turbine blade measurement method based on an ant colony algorithm for normal measurement trajectory planning. Background technique [0002] Turbine blades are key components in aero-engines. Since turbine blades are formed by one-time precision casting, there are large contour errors on the outer contour. A turbine blade profile is measured online. In production practice, the online measurement of turbine blades has high requirements for measurement accuracy and measurement speed. [0003] Due to its high measurement accuracy, measurement speed, stability and flexibility, the laser displacement sensor has become a commonly used measurement device in the field of turbine blade profile measurement. However, since the measurement accuracy of the laser displacement sensor decreases with the increase of the angle between the laser ray and the local ...

AI Technical Summary

Problems solved by technology

This measurement planning method is relatively simple, but the laser beam is not fully adjusted to be vertical to the local contour of the turbine blade, and the measurement point cloud is unevenly distributed on the surface of the turbine blade. At the same time, the measurement speed is slow, and it is difficult to apply to the online measurement of turbine blades.

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