Open AccessThe Application of Industrial CT Detection Technology in Defects inspection of lithium Ion Battery
Author(s) -
Tianjun Zhou,
Jiankang Xu,
Mengchuan Lv,
Zhengbing Zhu,
Jusheng Jia,
Weiquan Li,
Wenxiang Weng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/3/032075
Subject(s) - battery (electricity) , process (computing) , lithium (medication) , materials science , computer science , nondestructive testing , research object , object (grammar) , lithium ion battery , lithium battery , ion , artificial intelligence , chemistry , physics , medicine , power (physics) , organic chemistry , quantum mechanics , regional science , geography , ionic bonding , endocrinology , operating system
Industrial CT can intuitively display the internal structure, material composition and defect status of the tested object in the form of two-dimensional sectional image or three-dimensional image without damaging the structure of the tested object. It is widely used in the location, size, density change and distribution of internal defects of composite materials. It is the best nondestructive testing technology for internal micro size structure. Compared with the traditional detection technology, the defect detection of lithium-ion battery using industrial CT detection technology has many advantages, including component measurement of complex battery internal structure through high-density information in a non-contact and non-destructive manner. This paper introduces a series of defects of lithium ion battery scanned by industrial CT, analyzes the causes and how to improve the process.