Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Geometrical Defect Detection of Secondary Battery Using 3-Dimensional CAD Model

3D CAD 모델을 이용한 이차 전지의 형상 결함 검출

  • Yeong-Ho Jo (Department of Mechanical Engineering, Hansung University) ;
  • Keun-Ho Rew (Department of Robotics Engineering, Hoseo University) ;
  • Sang-Yul Lee (Department of Mechanical Engineering, Hansung University)
  • Received : 2022.10.11
  • Accepted : 2022.10.30
  • Published : 2022.12.31
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Abstract

In this study, we transformed 4680 type lithium-ion batteries to 3-dimensional CAD models and present a methodology to detect defects using Radon inverse transformation. Transparency was applied to the model to make it look like a CT image when viewed from the front. One normal and three defect models were created and analyzed. The models were saved as image files while rotating at a certain angle. Then, we used the Radon inverse transformation to reconstruct the original 3D geometry from the image files. Finally, we successfully found defects in the defect models for three cases.

Keywords

Acknowledgement

This research was financially supported by Hansung University.

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