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Analysis of Mechanical Properties of Welds by Magnetic Memory Detection
Current Issue
Volume 5, 2017
Issue 4 (August)
Pages: 25-31   |   Vol. 5, No. 4, August 2017   |   Follow on         
Paper in PDF Downloads: 17   Since Oct. 19, 2017 Views: 360   Since Oct. 19, 2017
Authors
[1]
Zu Ruili, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China.
[2]
Ren Shangkun, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China.
[3]
Zhao Zhenyan, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China.
[4]
Ren Xianzhi, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China.
Abstract
In order to detecting the mechanical properties of steel weld quality quickly and accurately, the method of detecting the weld quality of low carbon steel by magnetic memory detection technology is studied. Tensile test and magnetic signal measurement of different welding current welding specimens were carried out, and the defect detection analysis were carried out by using ray detection technique. Studying the relationship between the change of magnetic memory signal during tensile process and the yield strength and tensile strength of low carbon steel welds. The results show that the specimens with different welding current have different mechanical properties, and the specimens with different yield strength and tensile strength have different characteristics of magnetic memory signals. It is found that the mechanical properties of low-carbon steel welds can be effectively determined by using the two-parameter information fusion technology based on the basic principle of metal magnetic memory detection technology and the average magnetic signal information and magnetic signal gradient information under different stress. The research results can provide reference for the application of magnetic memory detection technology in the quality evaluation of carbon steel weld quality.
Keywords
Nondestructive Testing, Magnetic Memory Detection, Weld Quality, Average Magnetic Signal, Magnetic Signal Gradient
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