Zhang Huayu, Xie Fengqin, Cao Maoyong, Zhong Mingming
College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China.
Sensors (Basel). 2017 Jul 1;17(7):1536. doi: 10.3390/s17071536.
To efficiently inspect surface defects on steel ball bearings, a new method based on a circumferential eddy current array (CECA) sensor was proposed here. The best probe configuration, in terms of the coil quality factor (Q-factor), magnetic field intensity, and induced eddy current density on the surface of a sample steel ball, was determined using 3-, 4-, 5-, and 6-coil probes, for analysis and comparison. The optimal lift-off from the measured steel ball, the number of probe coils, and the frequency of excitation current suitable for steel ball inspection were obtained. Using the resulting CECA sensor to inspect 46,126 steel balls showed a miss rate of ~0.02%. The sensor was inspected for surface defects as small as 0.05 mm in width and 0.1 mm in depth.
为了高效检测钢球轴承的表面缺陷，本文提出了一种基于圆周式涡流阵列（CECA）传感器的新方法。使用3、4、5和6线圈探头，通过分析和比较，确定了在样品钢球表面的线圈品质因数（Q值）、磁场强度和感应涡流密度方面的最佳探头配置。获得了测量钢球时的最佳提离值、探头线圈数量以及适合钢球检测的励磁电流频率。用所得的CECA传感器检测46126个钢球，漏检率约为0.02%。该传感器可检测宽度小至0.05毫米、深度小至0.1毫米的表面缺陷。
