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Locomotive Wheel Inspection with EMAT Technology

机译:采用EMAT技术的机车车轮检查

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摘要

There is a need to analyze locomotive wheels for flank cracks in a non-destructive manner in order to prevent catastrophic failures. Flaw, shape, and size are desired parameters in establishing the quality of commercial tires. A variety of defects such as voids, inclusions, surface and internal cracks, or the like, must be discerned in order to prevent failure. This paper exhibits and compares the benefits of a number of different techniques used for flaw detection. Non-destructive evaluation (NDE) techniques used are magnetic particle inspection, dye penetrant, eddy current, electro-magnetic acoustic transducer (EMAT). The techniques vary in their ability to ascertain the flaw characteristics. Using a non-contact sensor such as the EMAT, to scan the wheels in an automated manner offers greater inspection speed at lower manpower. This paper reviews the basic concept of EMATs, introduces a recently developed technique for simulating EMAT performance by Finite Element calculation and features bench top results of waveform acquisition and signal-to-noise ratio dependence on lift-off. Next presented are calibration results for spark-eroded flaws in wheel sections for a variety of locations and sizes. Finally data are on flaw detection in a railroad service facility on several locomotives with wheels spinning at speeds up to 40 meters/minute. Results for both artificial and actual flaws are shown.
机译:为了防止灾难性故障,需要以非破坏性的方式分析机车车轮的侧面裂纹。缺陷,形状和尺寸是确定商用轮胎质量的理想参数。为了防止失效,必须辨别各种缺陷,例如空隙,夹杂物,表面和内部裂缝等。本文展示并比较了用于缺陷检测的多种不同技术的优势。所使用的无损评估(NDE)技术是磁粉检查,染料渗透剂,涡流,电磁声换能器(EMAT)。这些技术确定缺陷特征的能力各不相同。使用非接触式传感器(例如EMAT)以自动方式扫描车轮,可以以较低的人工提供更高的检查速度。本文回顾了EMAT的基本概念,介绍了一种最新开发的通过有限元计算模拟EMAT性能的技术,并介绍了波形采集的台面结果以及对升空的信噪比依赖性。接下来介绍的是针对各种位置和尺寸的车轮部分火花腐蚀缺陷的校准结果。最后,有关数据的信息是在铁路机车上的几台机车上,以最高40米/分钟的速度旋转的车轮上的缺陷。显示了人工和实际缺陷的结果。

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