Weld Defect Inspection of Cylindrical Secondary Batteries Based on Active Thermographic Measurement with Thermal Magnification

被引:0
|
作者
Park, J. [1 ]
Shin, S. [1 ]
Sohn, H. [1 ]
机构
[1] Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea, Republic of
来源
e-Journal of Nondestructive Testing | 2024年 / 29卷 / 07期
关键词
Lithium-ion batteries;
D O I
10.58286/29738
中图分类号
学科分类号
摘要
This paper presents an active thermographic measurement based inspection technique for detecting weld defects in the battery cap region of cylindrical secondary batteries. As the proliferation of electric vehicles continues, safety issues related to secondary batteries have become prominent. In this study, a defect detection algorithm was developed by aligning visual images and active thermographic images of the cylindrical secondary battery cap region. Lock-in amplitude images during the heating, cooling process using a laser were extracted to measure the difference in temperature patterns arising from internal structural variations. Additionally, to minimize the influence of surface conditions and temperature variations other than laser induced, a 10Hz periodic heating was employed, and thermal magnification in the heating frequency was achieved through data processing. This approach allowed the measurement of temperature changes induced by laser heating and cooling while minimizing the impact of surface conditions and temperature variations unrelated to the laser. A dataset of 1000 specimens was constructed by aligning thermographic data with vision images acquired through this method. defective samples. Using this thermographic vision alignment dataset, a defect detection algorithm was trained to achieve a more accurate and faster inspection performance compared to existing non-destructive testing technologies. © 2024, NDT. net GmbH and Co. KG. All rights reserved.
引用
收藏
相关论文
共 50 条
  • [1] Measurement and Defect Detection of the Weld Bead Based on Online Vision Inspection
    Li, Yuan
    Li, You Fu
    Wang, Qing Lin
    Xu, De
    Tan, Min
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2010, 59 (07) : 1841 - 1849
  • [2] A novel defect depth measurement method based on Nonlinear System Identification for pulsed thermographic inspection
    Zhao, Yifan
    Mehnen, Jorn
    Sirikham, Adisorn
    Roy, Rajkumar
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 85 : 382 - 395
  • [3] Defect depth retrieval method based on nonlinear transformation for pulsed thermographic inspection
    Wang, Meiling
    Gao, Bin
    Wu, Tongle
    Hu, Bozhen
    Liu, Li
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2020, 149
  • [4] Automated Defect Detection Using Threshold Value Classification Based on Thermographic Inspection
    Lee, Seungju
    Chung, Yoonjae
    Shrestha, Ranjit
    Kim, Wontae
    APPLIED SCIENCES-BASEL, 2021, 11 (17):
  • [5] Active thermographic inspection of external thermal insulation system with plastic anchors: evaluation of different thermal stimulus
    Goncalves, M.
    Simoes, N.
    Serra, C.
    14TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE, 2018, : 387 - 391
  • [6] Weld defect inspection based on machine vision and weak magnetic technology
    Ye, Jing
    Xia, Guisuo
    Liu, Fang
    Fu, Ping
    Cheng, Qiangqiang
    INSIGHT, 2021, 63 (09) : 547 - 553
  • [7] Introduction of active thermography and automatic defect segmentation in the thermographic inspection of specimens of ceramic tiling for building facades
    Garrido, Ivan
    Barreira, Eva
    Almeida, Ricardo M. S. F.
    Laguela, Susana
    INFRARED PHYSICS & TECHNOLOGY, 2022, 121
  • [8] An algorithm study on identification of subsurface defect based on thermographic temperature measurement
    Fan, Chun-Li
    Sun, Feng-Rui
    Yang, Li
    Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics, 2007, 28 (02): : 304 - 306
  • [9] Computer aided weld defect delineation using statistical parametric active contours in radiographic inspection
    Goumeidane, Aicha Baya
    Nacereddine, Nafaa
    Khamadja, Mohammed
    JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2015, 23 (03) : 289 - 310
  • [10] Statistical Deformable Model Based Weld Defect Contour Estimation in Radiographic Inspection
    Goumeidane, Aicha Baya
    Khamadja, Mohammaed
    Nafaa, Nacereddine
    Mekhalfa, Faiza
    2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2, 2008, : 420 - +