HUANG Yongcong, ZHAO Menglin, TAN Yuanhao. Study on quantitative detection of fatigue cracks for hollow axles on high-speed trains by the total focus method. [J]. Electric drive for locomotives (6):39-43(2022)
DOI:
HUANG Yongcong, ZHAO Menglin, TAN Yuanhao. Study on quantitative detection of fatigue cracks for hollow axles on high-speed trains by the total focus method. [J]. Electric drive for locomotives (6):39-43(2022) DOI: 10.13890/j.issn.1000-128X.2022.06.006.
Study on quantitative detection of fatigue cracks for hollow axles on high-speed trains by the total focus method
Among the important components on high-speed trains
hollow axles are detected from the inner bore surface for transverse fatigue cracks on the outer surface by the conventional ultrasonic technique
as a measure to ensure the operation safety of high-speed trains. However fatigue cracks cannot be quantified by this conventional technique
making it impossible to identify the next detection cycle of the hollow axle
leaving a safety loophole for the trains. In this study
the shortest path of ultrasonic propagation through the double-layer media was geometrically modeled. Applying the Snell's law and Ferrari’s method
the position was calculated for the incident point of the ultrasonic beam on the interface plane
to enable imaging in the double-layer media by the total focusing method(TFM). According to the study results
this method can generate the exact solution of the coordinates at the incident point on a linear interface and accurately reconstruct the fatigue crack images. The model improved with additional path calculation and secondary reflection of waveform conversion status
can achieve the real crack quantitative imaging of hollow axles. The results clearly presented the shape and development tendency of cracks
but the diffuse reflection at the crack tip will cause a certain impact on the quantitative.
关键词
高速列车空心车轴疲劳裂纹全聚焦技术双层介质成像Snell定律
Keywords
high-speed trainhollow axlefatigue cracktotal focus methoddouble-layer media imagingSnell’s law
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