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多孔陶瓷大部分被应用在精密器件的制备中,由于其孔隙尺寸较小,其缺陷检测容易受到各种因素的综合影响,检测效果较差。本文将多频涡流和机器视觉技术相结合,设计了一种新的多孔陶瓷缺陷检测系统,该系统利用加权平均和二值法对扫描图像进行处理,可以检测多孔陶瓷的孔隙率缺陷,利用多频涡流的幅频分布特性可以检测多孔陶瓷孔隙分布的均匀性缺陷。最后通过测试得到了多孔陶瓷机器视觉无损检测的产品合格率和多频涡流幅频特性分布,通过测试结果发现该系统能自动对多孔陶瓷进行检测,检测的速度和精度都较高,提高了无损检测技术的自动化程度。
Porous ceramics are mostly used in the preparation of precision devices. Due to their small pore size, the defect detection is easily affected by the combination of various factors and the detection effect is poor. In this paper, a multi-frequency eddy current and machine vision technology are combined to design a new porous ceramic defect detection system. The system uses the weighted average and binary method to process the scanned images, which can detect the porosity defects of porous ceramics. The amplitude-frequency distribution of frequency eddy current can detect the uniformity defect of porous ceramic pore distribution. Finally, the qualified rate of multi-hole ceramic machine vision non-destructive testing and multi-frequency eddy amplitude-frequency characteristic distribution were obtained through the test. The test results show that the system can automatically detect the porous ceramic with high speed and accuracy, The degree of automation of detection technology.