High dynamic online detection method for surface defects of small diameter reflective inner wall

被引:0
|
作者
Yuan, Shuaipeng [1 ]
Yan, Ning [1 ]
Zhu, Linlin [3 ]
Hu, Jianghong [2 ]
Li, Zexiao [1 ]
Liu, Haoyue [1 ]
Zhang, Xiaodong [1 ]
机构
[1] State Key Laboratory of Precision Measuring Technology and Instruments, Laboratory of Micro/Nano Manufacturing Technology (MNMT), Tianjin University, Tianjin,300072, China
[2] Fitow (Tianjin) Detection Technology Company Limited, Tianjin,300457, China
[3] Standard Optics Technology Tianjin (SOPT) Company Limited, Tianjin,300457, China
关键词
Inspection - Light reflection - Bearings (machine parts) - Image processing;
D O I
暂无
中图分类号
学科分类号
摘要
Small diameter inner wall surface reflective linear bearing sleeve, in the manufacturing, transportation, and other processes. The inner wall surface will inevitably produce minor height difference surface defects, resulting in gaps or wear problems in the use of products, affecting the overall life of the equipment and even causing a significant security risk. However, auto-detection is challenging to achieve because of the small space during the inspection and comprehensive inspection requirements. At the same time, it is required to have high accuracy and fast efficiency during the inspection, etc., to avoid causing the increase of the industrial production cycle and limit the yield. Based on the physical characteristics of the light reflection on the inner wall surface of such parts, this paper proposes a high-dynamic online detection method for small-diameter internal wall surface defects. The reflective fringes are used to enhance and magnify the minor surface defects of the inner wall, and the new spiral fringes are derived by modelling and simulation. The practical reflection of the characteristics of micron defects on the reflective inner wall is realized through the establishment of a mechanical inspection environment, and the use of image processing technology, online rapid and comprehensive detection of micron defects is achieved. Application and production in the actual industrial environment are realized, and the online high precision detection of defects of φ22mm is realized. Experiments prove that the method can detect bulges with only a height of 5 μm, and the detection accuracy rate can reach 99.31%. © 2022
引用
收藏
相关论文
共 50 条
  • [31] Small-Diameter Tube Wall Damage-Detection Method Based on TE01 Mode Microwave
    Shi, Meng
    Yang, Lijian
    Gao, Songwei
    Wang, Guoqing
    SENSORS, 2022, 22 (17)
  • [32] Cascaded detection method for surface defects of lead frame based on high-resolution detection images
    Sun, Tingrui
    Li, Zhiwei
    Xiao, Xinjie
    Guo, Zhihui
    Ning, Wenle
    Ding, Tingting
    JOURNAL OF MANUFACTURING SYSTEMS, 2024, 72 : 180 - 195
  • [33] Lightweight Detection Method for Small Crack Target Defects
    Jia, Xiaofen
    Jiang, Zailiang
    Zhao, Baiting
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2024, 51 (06): : 52 - 62
  • [34] High Sensitivity Refractometer Based on Reflective Smf-Small Diameter No Core Fiber Structure
    Zhou, Guorui
    Wu, Qiang
    Kumar, Rahul
    Ng, Wai Pang
    Liu, Hao
    Niu, Longfei
    Lalam, Nageswara
    Yuan, Xiaodong
    Semenova, Yuliya
    Farrell, Gerald
    Yuan, Jinhui
    Yu, Chongxiu
    Zeng, Jie
    Tian, Gui Yun
    Fu, Yong Qing
    SENSORS, 2017, 17 (06):
  • [35] Measurement of inner geometry of small surface crack by ultrasonic method
    Himawan, R
    Arai, Y
    Tsuchida, E
    PROCEEDINGS OF THE SEM IX INTERNATIONAL CONGRESS ON EXPERIMENTAL MECHANICS, 2000, : 449 - 452
  • [36] Defects detection in the inner surface of pipes based on inverse heat conduction problem
    Gou, Xiao-Long
    Zhang, Jian-Tao
    Wang, Guang-Jun
    Chongqing Daxue Xuebao/Journal of Chongqing University, 2010, 33 (02): : 42 - 46
  • [37] Online Detection of Surface Defects Based on Improved YOLOV3
    Chen, Xuechun
    Lv, Jun
    Fang, Yulun
    Du, Shichang
    SENSORS, 2022, 22 (03)
  • [38] APPARATUS FOR DETECTION OF DEFECTS IN SHEET INTENDED FOR FABRICATION OF SMALL-DIAMETER WELDED TUBES
    CAVALIER, G
    JOUGLA, M
    REVUE DE METALLURGIE, 1967, 64 (06): : 551 - &
  • [39] Online Stamping Parts Surface Defects Detection Based on Machine Vision
    Chen Guangfeng
    Guan Guanyang
    Wei Xin
    LASER & OPTOELECTRONICS PROGRESS, 2018, 55 (01)
  • [40] Online detection of hot strip defects through automatic surface inspection
    Ceracki, P
    Lücking, F
    Reizig, HJ
    STAHL UND EISEN, 1999, 119 (04): : 77 - +