首页> 外文会议>IEEE Far East NDT New Technology amp;amp;amp; Application Forum >Application of FTP in Rail Profile and Surface Flaw Detection Based on Orthogonal Two-Frequency Composite Grating
【24h】

Application of FTP in Rail Profile and Surface Flaw Detection Based on Orthogonal Two-Frequency Composite Grating

机译:基于正交两频复合光栅的FTP在轨道轮廓和表面探伤检测中的应用

获取原文

摘要

In order to reconstruct the rail profile and flaws on the rail surface, we aim to use the improved Fourier Transform Profilometry (FTP) based on the orthogonal two-frequency composite grating. The different modulation information caused by the rail profile and surface flaws can be obtained by the same frame of deformed fringe pattern of composite grating. After a basic process of FTP, the rail profile and flaws on the surface can be respectively reconstructed from the wrapping phase of the low frequency and high frequency. It is easier to perform the phase unwrapping from the spectrum with a lower frequency and longer equivalent wavelength, but the accuracy of measurement is inversely proportional to the equivalent wavelength. Accordingly, the accuracy of the image recovered with high frequency is higher than that recovered with the low one. So the rail shape is reconstructed from the low frequency part of the composite grating and the surface flaws are reconstructed from the high part, both with high accuracy. Simulations, error analysis and experiments were made. Results show that FTP based on the orthogonal two-frequency composite grating can meet the need of the actual measurement in the detection of the rail profile and surface flaws.
机译:为了重建轨道轮廓和漏极在轨道表面上,我们的目的是基于正交的两个频率复合光栅使用改进的傅里叶变换轮廓测量(FTP)。由轨道轮廓和表面缺陷引起的不同调制信息可以通过相同的复合光栅的变形条纹图案框架获得。在FTP的基本过程之后,可以分别从低频和高频的包装阶段重建轨道轮廓和表面上的缺陷。更容易从具有较低频率和更长的等效波长的频谱执行曝光的相位,但是测量的精度与等效波长成反比。因此,高频恢复的图像的精度高于用低恢复的图像的精度。因此,从复合光栅的低频部分重建轨道形状,并且表面缺陷从高压件重建,均具有高精度。制造了模拟,误差分析和实验。结果表明,基于正交两频复合光栅的FTP可以满足在轨道轮廓和表面缺陷的检测中的实际测量的需要。

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