1. China Jiliang University, Hangzhou, Zhejiang 310018, China
2. Shanghai Institute of Measurement and Testing Technology, Shanghai 201203, China
3. Zhejiang University, Hangzhou, Zhejiang 310027, China
Abstract：The principles of ultrasonic test and automatic wave tracking were analyzed and the improved BP neural network was proposed to acquire the mapping function between the plus of sensitivity and sampling points position information,which was made into template,in order to realize compensation and real-time control of the plus of sensitivity and automatic tracking of the bottom wave during the ultrasonic test for the curved surface composite parts with variable thickness. The simulated results and experiments have shown that the proposed method overcome the difficulty of multi-peeks successfully in automatic ultrasonic test for curved surface composite parts with variable thickness. It is in common significance to improve the efficiency and accuracy of ultrasonic test for similar complex curved surface parts with high attenuation rate.
2012, Vol. 33 
