Turbine blade laser cutting system based on machine vision and industrial robot

Abstract

The invention relates to a turbine blade laser cutting system based on machine vision and an industrial robot. The turbine blade laser cutting system comprises an industrial personal computer, a gantry type mechanical platform, the industrial robot loaded with a laser cutter at the tail end, an image acquiring module and a multi-shaft movement control module. A cutting path of a whole blade can be once obtained through matching image information of a blade to be cut with a theoretical profile curve of the blade, so that the efficiency is largely improved, and the matching precision is about 1 mm; a multi-shaft movement control card is used for driving a ball screw platform loaded with a camera to move; and the optimal image information of the blade to be cut is quickly obtained through identifying a fixed point on a blade fixture without needing to obtain the image information in real time like laser vision sensing, so that most data, optimal and image treatment operations are reduced, the operation efficiency is guaranteed, the damage of the camera in the laser cutting process is relieved, the requirement on the operation environment is lower, and the cost is lower.

Description

technical field [0001] The invention relates to the field of machine vision and laser cutting of industrial robots, in particular to a method of using machine vision to obtain the image information of a turbine blade to be cut and match it with the theoretical contour curve after the cutting process is completed, so as to realize the industrial robot driving the laser cutter for cutting system of work. Background technique [0002] Turbine blades are spatial profiles designed through complex numerical calculations based on aerodynamics and fluid mechanics, and their accuracy directly affects the energy conversion efficiency of the equipment. The cutting quality and efficiency of blade blanks are the key to ensure the accuracy and efficiency of subsequent semi-finishing, finishing, polishing and testing processes. At present, the commonly used blade laser cutting methods include teaching reproduction robot cutting and laser vision sensing. [0003] Teaching and reproducing ...

AI Technical Summary

Problems solved by technology

However, for a cutting system that only needs to ensure a cutting margin of 3 to 8 mm, the accuracy of the laser vision system has little impact on the subsequent processes of blade processing but requires a large cost

In addition, the laser light emitted by the laser sensor needs to pass through optical elements such as cylindrical lenses, polarizers, and optical filters to obtain light of a specific wavelength and undergo filtering, noise removal, etc., and finally enter the camera for imaging. The whole process not only has high environmental requirements but also A large amount of data, optics and image processing are required to affect work efficiency

Moreover, long-term laser cutting will cause greater damage to optical devices and increase costs.

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