Study On The Design And Visualization Of Manual Scanning Ultrasonic Flaw Detection System

According to the requirements of the project,a set of manual scanning ultrasonic flaw detection system is developed.In the process of detecting metal sheet by point by point,the position sensor is used to record the scanning trace of the hand-held ultrasonic probe,and according to the ultrasonic signal corresponding to the detection point,the distribution of the acoustic characteristics of the detection area is obtained,and the reliability of the sheet metal during the predetermined life span is evaluated.In this paper,based on the actual project requirements and the development process,the key technologies of the detection system are introduced,and the positioning device and data visualization processing are studied.First of all,the paper summarizes the development of ultrasonic testing technology and ultrasonic testing equipment at home and abroad,introduces the main contents and significance of this study.According to the characteristics of metal sheet,this paper introduces the theoretical basis of acoustic basis and defect location,the detection method of the shear wave pulse reflection method and the photoelectric mouse positioning defect are determined.Secondly,this paper introduces the design and development process of the detection system in detail.The ultrasonic detection system module takes FPGA as the control core,and realizes the control the emission and reception of the ultrasonic wave,the signal acquisition and the control of the USB communication;The positioning system module is designed to map the USB photoelectric mouse into a position sensor by writing a class HID lower layer filter driver,which can quickly and accurately locate the position of the ultrasonic probe during the scanning process.Finally,the paper introduces the development of PC software in VS environment.The PC software is used to identify and control the ultrasonic detection system module and positioning system module,the ultrasonic echo signal data and the position information areobtained.After analyzing the data,we can get the result of the injury and generate the gray scale of the distribution of the acoustic characteristics.