Study on the early fatigue damage evaluation of high strength steel by using three components of metal magnetic memory signal

2021 ◽  
Vol 117 ◽  
pp. 102380
Author(s):  
Bin Liu ◽  
Zhihao Zeng ◽  
Huipeng Wang
2014 ◽  
Vol 21 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Hui-peng Wang ◽  
Li-hong Dong ◽  
Shi-yun Dong ◽  
Bin-shi Xu

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Bingbing Chen ◽  
Chao Wang ◽  
Pengfei Wang ◽  
Sanlong Zheng ◽  
Weiming Sun

In view of the early fatigue damage of high-strength steel FV520B, a nonlinear ultrasonic detection was performed on two types of fatigue samples using nonlinear Lamb waves. The experimental results indicated that the ultrasonic nonlinear parameter is highly sensitive to early fatigue damage in high-strength FV520B. For plate specimens, the ultrasonic nonlinear parameter increased with the number of fatigue cycles. Scanning electron microscopy (SEM) observations of the fatigue specimens revealed that as the number of fatigue cycles increased, the microstructure of the material gradually deteriorated, and the ultrasonic nonlinear parameter increased. For notched specimens, the ultrasonic nonlinear parameter increased as the size of the main crack increased. SEM observations of the fracture indicated that the ultrasonic nonlinear parameters were more consistent with the equivalent microcrack length (defined as the sum of microcrack lengths in the statistical area), as compared with the length of the main crack. It was determined that the nonlinear effect of the Lamb wave is related to the equivalent microcrack length inside the material and that the ultrasonic nonlinear parameter can effectively characterize the fatigue damage state of high-strength FV520B.


2017 ◽  
Vol 7 ◽  
pp. 468-475 ◽  
Author(s):  
Taizo Makino ◽  
Yutaka Neishi ◽  
Daiki Shiozawa ◽  
Shoichi Kikuchi ◽  
Hitoshi Saito ◽  
...  

2010 ◽  
Vol 97-101 ◽  
pp. 4301-4304 ◽  
Author(s):  
Ming Xiu Xu ◽  
Min Qiang Xu ◽  
Jian Wei Li ◽  
Jian Cheng Leng ◽  
Shu Ai Zhao

In order to study the relation between metal fatigue damage and the associated magnetic memory signals, the detection theory was studied based on magneto mechanical effect, and the rotating bending fatigue experiments on 45 steel were carried out combined with on-line data collecting system. The magnetic signals along axis at prefab defects in the fatigue process were studied. Experimental results show that the characteristics of the magnetic signals are different at every different stage of the fatigue process, in particular the magnetic signal changing faster in the late fatigue process, which indicates that it is feasible to detect fatigue damage using metal magnetic memory technique. Accordingly, the method is proposed to detect the rotation-bending fatigue damage for specimens in service by magnetic signals.


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