Literature DB >> 32504983

Study of a spiral-coil EMAT for rail subsurface inspection.

Yong Li1, Ze Liu1, Yu Miao2, Wei Yuan1, Zheliang Liu1.   

Abstract

The novelty of this paper is that a spiral-coil EMAT (electromagnetic acoustic transducer) is applied to rail subsurface inspection. To study the spiral-coil EMAT for rail subsurface inspection, the dominant mechanism is investigated emphatically. The interaction between the Lorentz-force mechanism and the magnetostriction mechanism is analyzed corresponding to the magnetic flux density and the frequency which has a significant effect on the magnetostriction mechanism. The effect of frequency on beam divergence is further discussed about the rail subsurface inspection using spiral-coil EMAT as well. A 2D FEM (finite element model) of spiral-coil EMAT is established and the simulation is carried out to analyze these issues. Besides, the experiments to inspect the subsurface crack of steel plate are carried out at various frequencies to verify the feasibility of the application. The experimental results demonstrate that the rail subsurface inspection by using the spiral-coil EMAT is feasible and the high frequency can contribute to distinguish the echo signal from the rail subsurface crack.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Beam divergence angle; EMAT; Frequency contributions; Magnetostriction mechanism; Rail subsurface crack

Year:  2020        PMID: 32504983     DOI: 10.1016/j.ultras.2020.106169

Source DB:  PubMed          Journal:  Ultrasonics        ISSN: 0041-624X            Impact factor:   2.890


  2 in total

1.  Application of Moire Profilometry in Three-Dimensional Profile Reconstruction of Key Parts in Railway.

Authors:  Ruyu Ma; Jinlong Li; Kailang He; Tao Tang; Yu Zhang; Xiaorong Gao
Journal:  Sensors (Basel)       Date:  2022-03-24       Impact factor: 3.576

2.  Optimization Design of Surface Wave Electromagnetic Acoustic Transducers Based on Simulation Analysis and Orthogonal Test Method.

Authors:  Ju Lan; Jingjun Zhang; Xiaojuan Jia; Ruizhen Gao
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

  2 in total

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