Blade Crack Image Vectorization And Milling Repair Path Planning

The aero engine is the core component of aerospace equipment and is considered the "heart" of the aircraft.The quality of the blades in the engine directly affects the performance of the entire aircraft.If the blade rotates at high speed for a long time and is in a high-temperature and high-pressure environment,cracks may occur.Cracks are one of the important factors that endanger flight safety.In order to avoid such situations,the blades need to be inspected and repaired regularly.Therefore,maintaining the overall performance of aero-engines by improving the maintenance quality of engine blades is the future development trend of aero-engine maintenance technologies.Among them,the visual measurement of engine blade cracks and milling repair are one of the main repair technologies.This paper focuses on the two aspects of the blade crack image vectorization algorithm and the blade milling repair tool path planning method,and at the same time based on the monocular vision of the crack three-dimensional coordinate point measurement algorithm.The main work contents are as follows:First,pre-process and analyze the blade crack image.The noise points in the image are removed by multiple filtering algorithms,then thresholding is performed to obtain a binary image,then the Canny operator is used to extract the edge and corrosion expansion enhancement features,and finally the pixel coordinate points of the leaves and cracks in the processed image are extracted.Completed the preprocessing and coordinate information extraction of the blade crack image.Secondly,the vectorized algorithm is studied on the pre-processed blade crack images.First,we need to use the edge extraction algorithm to obtain the edge points of the crack,and sort these unordered edge points to obtain the coordinate points of a continuous closed curve.Fit it to the NURBS curve and output the completion vector in the IGES file format.Graphical output.Then,a three-dimensional crack measurement algorithm based on monocular vision is studied.The two-dimensional coordinates of the processed crack are obtained by using the monocular vision algorithm theory.Among them,coordinate transformation,camera calibration theory and relative pose measurement algorithm are used to complete the overall three-dimensional crack measurement.Finally,the blade path planning and experimental research of blade milling repair are carried out.First,the three-dimensional model of the complete blade containing cracks is obtained through the previous research,and the tool path trajectory is planned for the area that needs to be repaired by milling.Then post-process the data generated by the tool path planning to obtain the NC machining program code,and carry out the machining simulation simulation on VERICUT to carry out the actual machining on the laboratory machine tool under normal conditions.