Blade section profile high-precision detection method based on line structured light sensor

Abstract

The invention discloses a blade section profile high-precision detection method based on a line structured light sensor. The method comprises the steps of (10) carrying out pose calibration of the line structured light sensor; (20) calibrating the lower part of the rotating shaft: calibrating the rotating axis by utilizing a blade side reference surface; (30) detecting the section contour of the to-be-detected blade: establishing a global coordinate system, converting the blade section curve characteristic data acquired by the data coordinate system into the coordinate system, and splicing torealize the detection of the section contour of the blade. According to the invention, errors generated by calibration object transmission are reduced, the rotation angle of a rotary table is not brought in when the rotation axis and the rotation center are calibrated, the rotation errors are reduced, the positions of the line structured light rotated twice are not changed, and the translation errors of the line structured light sensor are reduced. The datum plane with high flatness precision is used for calibrating the rotation axis, the calibration steps before blade detection are reduced, the data error after calibration is extremely small, and blade section curve detection is more accurate.

Description

technical field [0001] The invention belongs to the field of blade profile detection, and in particular relates to a high-precision detection method of a blade cross-sectional profile based on a line structured light sensor. Background technique [0002] As a key component in aero-engines, gas turbines, steam turbines and other equipment, blades undertake the important task of converting heat energy into mechanical energy. The shape and quality of blades directly affect the energy conversion efficiency and service life of the whole machine. Due to the irregular curved surface of the blade and the different profile of each section height, the blade detection work is more difficult. [0003] The Chinese invention patent with the patent number 201911267259.1 discloses a leaf detection method based on a line structured light sensor. The detection method of this method includes (1) calibration of the detection device before the blade is installed: calibration of the moving axes X...

AI Technical Summary

Problems solved by technology

This method uses the angle sensor and the curve characteristic of the blade to calibrate the axis of rotation to overcome the traditional standard ball transmission error, but its operation steps are cumbersome, and it is not suitable for the detection of large curvature in the curve characteristics of the blade section, and there are great errors in the detection

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