The Recognition of Rail Oblique Crack Based on Magnetic Flux Leakage Signals
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摘要: 高速铁路的钢轨缺陷主要表现为斜线状接触疲劳裂纹, 并且经常是一连串的相似斜裂纹同时出现, 成为危害铁路运输安全的重要因素。对钢轨斜裂纹的检测是铁路无损检测领域的重要任务。基于漏磁检测技术, 通过有限元软件Ansoft仿真研究了钢轨斜裂纹的识别原理及方法, 包括理论分析、模型建立、斜裂纹与矩形裂纹的漏磁信号差异、斜裂纹深度与宽度的识别以及连续多个斜裂纹的识别等。研究结论可以为进一步的试验研究提供理论指导和仿真依据。Abstract: The rail defects of the high-speed railway are mainly oblique contact fatigue cracks, and these oblique cracks usually appear in series. The appearance of oblique cracks becomes an important factor which influences the safety of railway traffic. The inspection of rail oblique cracks is an important task in railway non-destruct testing field. Based on the magnetic flux leakage (MFL) testing techniques, this paper researches the recognition principles and methods of rail oblique cracks by the finite element analysis software Ansoft. The research contents include theoretical analysis, model establishment, the MFL signal differences between oblique crack and rectangle crack, and the recognition of depths and widths of oblique cracks, and the recognition of several parallel oblique cracks, etc. The conclusions could provide guidance for the further experimental research.
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