scholarly journals Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect

2020 ◽  
Vol 10 (20) ◽  
pp. 7083
Author(s):  
Bingxun Zhao ◽  
Kai Yao ◽  
Libo Wu ◽  
Xinglong Li ◽  
Yue-Sheng Wang

The damage of equipment manufactured with ferromagnetic materials in service can be effectively detected by Metal Magnetic Memory Testing (MMMT) technology, which has received extensive attention in various industry fields. The effect of stress or strain on Magnetic Flux Leakage (MFL) signals of ferromagnetic materials has been researched by many scholars for assessing stress concentration and fatigue damage. However, there is still a lack of research on the detection of stress corrosion damage of ferromagnetic materials by MMMT technology. In this paper, the electrochemical corrosion system was designed for corrosion experiments, and three different experiments were performed to study the effect of corrosion on MFL signals. The distribution of MFL signals on the surface of the specimen was investigated. The results indicated that both the normal component Hn and tangential component Ht of MFL signals presented different signal characteristics when the specimen was subjected to different working conditions. Finally, two characterization parameters, Sn and St, were defined to evaluate the corrosion degree of the specimen, and St is better. The direct dependence of corrosion depth on the parameter was developed and the average error rates between the predicted and measured values are 8.94% under the same working condition. Therefore, the expression can be used to evaluate the corrosion degree of the specimen quantitatively. The results are significant for detecting and assessing the corrosion defect of ferromagnetic materials.

2015 ◽  
Vol 817 ◽  
pp. 791-796
Author(s):  
Chang Liang Shi ◽  
Wei Xue Tang ◽  
Hao Zhan ◽  
Shi Yun Dong

In the geomagnetic field, stress can induce spontaneous magnetic signals in ferromagnetic materials, the method, named metal magnetic memory testing, can be potentially applied in estimating the fatigue life. In this paper, the normal component of magnetic field, Hp (y), was measured during dynamic tension test on the surfaces of ferromagnetic specimens with stress concentration factor of 5. The results indicated that the gradient of magnetic field intensity, K, was the key parameter to characterize crack initiation life. Then the numerical fitting of K and fatigue cycles were done under three level loads, 568.7MPa, 698.8MPa and 864.4MPa, meanwhile, a simple model was derived.


2005 ◽  
Vol 12 (2) ◽  
pp. 102-106 ◽  
Author(s):  
Li-hong Dong ◽  
Bin-shi Xu ◽  
Shi-yun Dong ◽  
Qun-zhi Chen ◽  
Yu-ya Wang ◽  
...  

2012 ◽  
Vol 538-541 ◽  
pp. 1588-1593 ◽  
Author(s):  
Nan Xue ◽  
Li Hong Dong ◽  
Bin Shi Xu ◽  
Cheng Chen ◽  
Shi Yun Dong

Fatigue damage degree of crankshaft remanufacturing core was studied based on Metal Magnetic Memory Testing. Bending fatigue test of crankshaft remanufacturing core was conducted on the resonant fatigue test rig and variations of two-dimensional magnetic memory signal distribution in crankshaft pin fillets were studied at different bending fatigue cycle. Experimental research shows that distributions of Hp(x) signals, namely, tangential component of spontaneous stray field and Hp(y) signals, namely, normal component of spontaneous stray field in crankshaft pin fillets have no obvious change with loading cycle when no crack initiation and propagation occur in crankshaft pin fillets. Characteristics of Hp(x) and Hp(y) signal both show dynamic variations when crack in crankshaft pin fillets initiates and extends at medium rate or high rate. Metal Magnetic Memory Testing is a dynamic method for monitoring fatigue crack propagation in crankshaft.


2010 ◽  
Vol 21 (5) ◽  
pp. 055703 ◽  
Author(s):  
Ping Wang ◽  
Shougao Zhu ◽  
Gui Yun Tian ◽  
Haitao Wang ◽  
John Wilson ◽  
...  

2020 ◽  
Vol 125 ◽  
pp. 103439 ◽  
Author(s):  
Fumin Gao ◽  
JianChun Fan ◽  
Laibin Zhang ◽  
Jiankang Jiang ◽  
Shoujie He

Metals ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 119 ◽  
Author(s):  
Zhibin Hu ◽  
Jianchun Fan ◽  
Shengnan Wu ◽  
Haoyuan Dai ◽  
Shujie Liu

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