Surface Defect Detection Method of Metal Mechanical Parts Based on Laser Ultrasonic
Aiming at the defects of insufficient data set and low detection accuracy in the current metal surface defect de-tection,a surface defect detection method of metal mechanical parts based on laser ultrasonic is proposed.Firstly,the mech-anism of laser ultrasonic generation based on thermoelastic mechanism is studied,and a large number of ultrasonic sample data are generated by numerical simulation.Secondly,a metal surface defect detection model based on deep learning is de-signed to realize end-to-end metal surface defect detection.The experimental results show that the proposed metal surface detection model has better comprehensive performance than CNN and LSTM networks.The simulation results further verify that the proposed model has a certain reference value for the research of surface defect detection of metal parts under laser ul-trasound.
万方数据
维普
