METALS AND METAL MATRIX COMPOSITES |
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Experimental Study on the Effect of Cyclic Stress on Magnetic Memory Effect |
LENG Jiancheng, LI Zhengda, WANG Yujie, ZHOU Linfeng
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School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing 163318 |
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Abstract In order to reveal the macro- and micro-mechanism of the influence of cyclic stress on magnetic memory effect, the magnetic memory signal variations under different cyclic numbers of notched specimens made of low steel Q235 steel were investigated by using the stress concentration magnetic indicator TSC-2M-8 based on tension-tension fatigue experiments, and the multiscale fuzzy entropy characteristics of the tangential components were extracted simultaneously. The magnetic domain in situ in the fixed area of the specimen was observed by using the magnetic fluid Fe3O4 self-made based on the power grain method, and the corresponding magnetic domain morphology under different fatigue cycles was obtained. The results show that the whole fatigue process can be divided into three stages including the rapid early change, stable middle stage and rapid increase in the last stage by the macro-magnetic signals, and the multiscale fuzzy entropy can be applied to evaluate fatigue damage quantitatively. The surface magnetic domain structures are arranged disorderly when the specimen is not subjected to cyclic stress, and most change with the increasing fatigue cycles after loading. The leakage magnetic field on the surface of the specimen is the external reflection of the change of internal magnetic domain structures caused by cyclic stress, and they are in good agreement.
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Published: 16 May 2019
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Fund:This work was financially supported by the National Natural Science Foundation of China (11472076) and Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province (LBH-Q16035). |
About author:: Jiancheng Leng received his Ph.D. degree in general mechanics from Harbin Institute of Technology. He is currently a full professor in Northeast Petroleum University. His main research interests include nondestructive testing & evaluation and structural health monitoring technology. |
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