Fatigue damage evaluation by metal magnetic memory testing

被引:0
作者
Hui-peng Wang
Li-hong Dong
Shi-yun Dong
Bin-shi Xu
机构
[1] Academy of Armored Forces Engineering,National Key Laboratory for Remanufacturing
来源
Journal of Central South University | 2014年 / 21卷
关键词
metal magnetic memory testing; MMMT signal; tension-compression fatigue test; feature extraction;
D O I
暂无
中图分类号
学科分类号
摘要
Tension-compression fatigue test was performed on 0.45% C steel specimens. Normal and tangential components of magnetic memory testing signals, Hp(y) and Hp(x) signals, with their characteristics, K of Hp(y) and Hp(x)M of Hp(x), throughout the fatigue process were presented and analyzed. Abnormal peaks of Hp(y) and peak of Hp(x) reversed after loading; Hp(y) curves rotated clockwise and Hp(x) curves elevated significantly with the increase of fatigue cycle number at the first a few fatigue cycles, both Hp(y) and Hp(x) curves were stable after that, the amplitude of abnormal peaks of Hp(y) and peak value of Hp(x) increased more quickly after fatigue crack initiation. Abnormal peaks of Hp(y) and peak of Hp(x) at the notch reversed again after failure. The characteristics were found to exhibit consistent tendency in the whole fatigue life and behave differently in different stages of fatigue. In initial and crack developing stages, the characteristics increased significantly due to dislocations increase and crack propagation, respectively. In stable stage, the characteristics remained constant as a result of dislocation blocking, K value ranged from 20 to 30 A/(m·mm)−1, and Hp(x)M ranged from 270 to 300 A/m under the test parameters in this work. After failure, both abnormal peaks of Hp(y) and peak of Hp(x) reversed, K value was 133 A/(m·mm)−1 and Hp(x)M was −640 A/m. The results indicate that the characteristics of Hp(y) and Hp(x) signals were related to the accumulation of fatigue, so it is feasible and applicable to monitor fatigue damage of ferromagnetic components using metal magnetic memory testing (MMMT).
引用
收藏
页码:65 / 70
页数:5
相关论文
共 50 条
[31]   HoneyJudge: A PLC Honeypot Identification Framework Based on Device Memory Testing [J].
Zhu, Hengye ;
Liu, Mengxiang ;
Chen, Binbin ;
Che, Xin ;
Cheng, Peng ;
Deng, Ruilong .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 19 :6028-6043
[32]   Automatic evaluation of non-destructive testing of composites [J].
Garcia, A. ;
Rohling, H. ;
Schmutzler, H. ;
Wittich, H. ;
Schulte, K. .
INSIGHT, 2014, 56 (06) :319-325
[33]   Sizing of Defect Using Magnetic Memory Signal Based on the Reconstruction Algorithm [J].
Li, Hongmei ;
Wang, Yu ;
Huang, Ranran ;
Zhang, Fuchen ;
Yang, Bin .
IEEE ACCESS, 2018, 6 :58543-58548
[34]   Evaluation of fish meal freshness using a metal-oxide semiconductor electronic nose combined with the long short-term memory feature extraction method [J].
Li, Pei ;
Li, Zhaopeng ;
Hu, Yangting ;
Niu, Zhiyou ;
Wang, Zhenhe ;
Zhou, Hua ;
Sun, Xia .
JOURNAL OF FOOD SCIENCE, 2024, 89 (08) :5016-5030
[35]   Research on vibration fatigue damage identification of oil and gas pipeline under the condition of measured noise injection [J].
Xie, Yaoguo ;
Gao, Chengang ;
Wang, Puzhe ;
Qu, Xianqiang ;
Cui, Hongbin .
APPLIED OCEAN RESEARCH, 2023, 134
[36]   A Real-Time Bent Cable Detection Method for Fatigue Testing in Fast Drag Chain Machines [J].
Yu, Yunjun ;
Zheng, Zhibin ;
Tao, Hongwei ;
Teng, Jianhua ;
Xin, Yunfeng ;
Xiang, Xiaozheng ;
Zhou, Huao ;
Hu, Jiawen .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
[37]   Research on a damage identification method of harmonic magnetic field detection in steel pipes with cladding [J].
Wang, Xinhua ;
Gu, Yaping ;
Chen, Yingchun ;
Ullah, Zia ;
Zhao, Yizhen .
INSIGHT, 2020, 62 (09) :533-539
[38]   Research on eddy current testing and defect evaluation methods for complex cracks [J].
Jin J. ;
Zhang Q. ;
Han B. ;
Yang S. ;
Ren Y. .
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2024, 45 (02) :280-288
[39]   Research on Acoustic Emission Test Method for Metal Fatigue Fracture Based on Wavelet Packets Feature Extraction [J].
Wang Qi ;
Chen Yin-sheng ;
Song Kai .
ADVANCES IN FRACTURE AND DAMAGE MECHANICS X, 2012, 488-489 :432-435
[40]   Characterization of Stress Concentration Degree Based on 2-dementional Magnetic Memory Signals [J].
Wang, Huipeng ;
Dong, Lihong ;
Dong, Shiyun ;
Xue, Nan ;
Xu, Binshi .
MATERIALS, MECHANICAL ENGINEERING AND MANUFACTURE, PTS 1-3, 2013, 268-270 :396-400