Defect Space Visualized NDT For The Blade Of Aero Engine

The safety of the aircraft engine blade problem has always been a matter ofaviation industry which is difficult to cure.The scientific researchers have alwaysbeen the unremitting exploration with high precision and fast intuitive blade defectinspection method.With the advance of aircraft engine blade detection technology,high quality,intelligent and wisdom NDT methods for automatic gradually replacedthe traditional solution.NDT is playing an increasingly important role in non-contacttesting in the field of aviation industry.The qualitative and quantitative analysis ofaero-engine blade defects has quickly become the focus of research in recent years.In this project,the aero engine blade is the main research object,and the spatialimaging and defect quantification of the blade defects are the research objectives.Bystudying the ultrasonic defect imaging technology and intelligent X-ray detectionmethod in NDT,a software system for displaying the three-dimensional model of theblade is developed,and the 3d imaging and area quantification of the blade defectsare realized.Aiming at the problem that the workpiece pallets and moulds need to bechanged frequently when different types of blades are detected in the process ofdetection,the part auto-grab detection technology based on machine vision is studied.The main research contents and work are summarized as follows:(1)Elaborated the NDT technology research status at home and abroad,and introduces the detection principle and the advantages and disadvantages of each NDT method.Analyzes the applications of different NDT methods,and systemly described the ultrasonic and X-ray development course and present status of NDT method.A research roadmap based on NDT method of blades is established.(2)The ultrasonic C scan space point cloud data of A type of aeroengine blades are collected,and a display system of three-dimensional point cloud data model of the aircraft engine blade ultrasonic is developed.A special administrative point cloud data of database system is Designed,and the blade CAD model analysis methods are studied.With the help of C#.NET platform,developed blade three-dimensional display system of different function modules,including the point cloud three-dimensional display interface,point cloud data management,CAD model,the system user management,safety management and inspection report,etc.(3)The post processing method of ultrasonic c-scan data of aero engine blade is analyzed,the 3d imaging principle and 3d reconstruction algorithm of ultrasonic point cloud which including the color method of the reconstructed blade are analyzed and studied.The contour of the defective part of the blade was characterized,and the point cloud of the defective part of the blade was extracted separately.A new defect area quantization algorithm was proposed,and the accuracy of the defect area quantization algorithm was verified by adding a verification blade with preset defect points.(4)The method of adding machine vision elements in NDT of parts was studied,and an automatic part identification and detection system based on binocular vision was built,so that the robot could automatically identify different kinds of tested parts under the same working condition,which could save the production cost and improve the product conversion speed.