Author:
Lin Lizong,Chang Haoyuan,Zhang Xin
Abstract
Abstract
In order to improve the efficiency of traditional local non-destructive testing method in detecting the defects of large plate welds and obtain the equivalent mechanical parameters of weld defects, a method for detecting plate weld defects based on local vibration area sensitivity analysis is proposed. This method does not need to pay attention to the specific form of the weld defect, and it regards the defect as a reduction in the local Young’s modulus. A plate welding model was established in ABAQUS finite element software to simulate the detection process of different defect positions and different defect levels. The results show that the sensitivity matrix constructed with the elastic modulus of 5% change can be applied to the detection of defects with a degree of 3% to 20%. It shows that the proposed method can be used to locate and quantify weld defects with sufficient accuracy.
Reference19 articles.
1. Neural classification of Lamb wave ultrasonic weld testi ng signals using wavelet coefficients[J];Legendre;Instrumentation & Measurement IEEE Transactions on,2001
2. Artificial neural networks for quality control by ultrasonic testing in resistance spot welding[J];Martín;Journal of Materials Processing Technology,2007
3. Image Processing of Real-Time Automatic X-Ray Inspection System for Weld Defects[J];Run-Shi,2009
4. Automatic segmentation and classification of weld defects by x-ray inspection[J];Waltz;Proceedings of SPIE - The International Society for Optical Engineering,1992
5. Factors Affecting Magnetic Flux Leakage Inspection of Tailor-Welded Blanks[J];Wild;Research in Nondestructive Evaluation,2006