首页> 外文期刊>Insight >Depth profiling of defects in stainless steel using electric potential sensors and a non-contact AC potential drop method
【24h】

Depth profiling of defects in stainless steel using electric potential sensors and a non-contact AC potential drop method

机译:使用电势传感器和非接触式交流电势下降方法对不锈钢中的缺陷进行深度剖析

获取原文
获取原文并翻译 | 示例
       

摘要

A new technique is described - a non-contact version of the well-known AC potential drop method. Electric potential sensor technology is capable of measuring, non-contact, the spatial electric potential associated with a sample via the displacement current, through capacitive coupling. This can be achieved due to the extremely high input impedance of the sensors, resulting in many cases in no loss of signal when compared with a contact voltage measurement. For laboratory samples, an AC current is passed through the sample and the spatial potential above the surface monitored as a function of position. For a full non-contact implementation this current would be induced inductively as in eddy current testing systems. Previous work on stainless steel using this new technique was able to detect 1 mm of material loss from the inside of a 24 mm-thick sample. The work described here extends this by applying multiple frequencies simultaneously to a sample and analysing the data for each frequency component separately. In this way, depth information about faults within a material may be obtained, due to the skin depth effect. This enables the location and characterisation of faults in three dimensions to be achieved while only performing a single scan.
机译:描述了一种新技术-众所周知的交流电势下降方法的非接触形式。电位传感器技术能够通过电容耦合,通过位移电流非接触地测量与样品相关的空间电位。这可以通过传感器的极高输入阻抗来实现,与接触电压测量相比,在许多情况下不会损失信号。对于实验室样品,交流电流通过样品,并且根据位置监视表面上方的空间电势。对于完全的非接触式实现,该电流将像在涡流测试系统中一样被感应感应。以前使用这种新技术对不锈钢进行的工作能够检测出24毫米厚样品内部的1毫米材料损失。此处描述的工作通过将多个频率同时应用于样本并分别分析每个频率分量的数据来扩展。以这种方式,由于趋肤深度效应,可以获得关于材料内的缺陷的深度信息。这样,仅执行一次扫描就可以实现三维故障的定位和特征描述。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号