Experimental evaluation and theoretical analysis of the mechanical properties of ferromagnetic materials using the magnetic hysteresis properties

Jiao, Jingpin; Chang, Yu; Kobayashi, Satoru; Liu, Xiucheng; Li, Guanghai; Wu, Bin; He, Cunfu

doi:10.1016/j.jmmm.2022.169310

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…Finally, Microstructure measurement of the specimens is performed to obtain their grain sizes and dislocation densities. The typical results of microstructure measurement are given in figure 14 [41]. Figures 14(a analysis (EPMA), and figures 14(c) and (d) are the images obtained with a Philips Tecnai 30 transmission electron microscope.…”

Section: Experiments On Mae and Microstructure Measurementmentioning

confidence: 99%

Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material

Zhang,

Jiao,

et al. 2023

Meas. Sci. Technol.

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Magnetoacoustic emission (MAE) holds great promise for evaluating the mechanical properties of ferromagnetic materials. To refine the problems of the current theoretical and numerical models of MAE, a theoretical MAE model that considers the microscopic dependence of the hysteresis properties is proposed in this paper. The microstructure (dislocation density and grain size) and the correlation of MAE jumps are considered and incorporated into the model. Then, the influences of magnetization parameters and microstructure parameters on the envelope of the MAE signal are analyzed by the proposed theoretical model. The proposed theoretical model is then fully evaluated by simulations and experiments. The MAE experiments are conducted on ferromagnetic specimens with different hardnesses, and the MAE signals with different hardnesses are simulated by inverting the basic parameters of the MAE model with the genetic algorithm. Further, the crucial hysteresis parameters of the specimens are calculated using the results of microscopic measurements and the calculated parameters agree well with inversion results from experimental signals. The results demonstrate that the proposed theoretical model is valid for the MAE signal simulation. The trends of different hardnesses can be predicted by the MAE simulation signals. Moreover, the model can be used for theoretical analysis of the microscopic dependence of the MAE signal.

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Section: Experiments On Mae and Microstructure Measurementmentioning

confidence: 99%