Roskosz Maciej, Mazurek Paweł, Kwaśniewski Jerzy, Wu Jianbo
Department of Machinery Engineering and Transport, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Krakow, Poland.
Department of Engineering Science and Mechanics, Sichuan University, Chengdu 610065, China.
Sensors (Basel). 2023 Jul 13;23(14):6365. doi: 10.3390/s23146365.
The early identification of micro-defects in ferromagnetic elements such as steel wire ropes significantly impacts structures' in-service reliability and safety. This work investigated the possibility of detecting mechanically introduced discontinuities using different magnetic sensors without magnetization of the tested object with a strong external field. This is called the passive magnetic testing method, and it is becoming increasingly popular. This research used differential sensors (measuring differences in field values at the nanotesla level) and absolute sensors (enabling the measurement of the magnetic field vector module or its components at the microtesla level). Each measurement result obtained from the sensors allowed for detecting discontinuities in the line. The problem to be solved is the quantitative identification of changes in the metallic cross-section of a rope.
钢丝绳等铁磁元件中微缺陷的早期识别对结构的服役可靠性和安全性有重大影响。这项工作研究了使用不同磁传感器检测机械引入的不连续性的可能性，而无需用强外部磁场对测试对象进行磁化。这被称为被动磁测试方法，并且越来越受欢迎。本研究使用了差分传感器（测量纳特斯拉级别的场值差异）和绝对传感器（能够测量微特斯拉级别的磁场矢量模块或其分量）。从传感器获得的每个测量结果都有助于检测线路中的不连续性。有待解决的问题是对绳索金属横截面变化进行定量识别。
