电池(电)
过程(计算)
锂(药物)
材料科学
计算机科学
无损检测
研究对象
对象(语法)
锂离子电池
锂电池
离子
人工智能
化学
物理
内分泌学
区域科学
功率(物理)
有机化学
地理
操作系统
医学
量子力学
离子键合
作者
Shuai Hu,Jiankang Xu,Mengchuan Lv,Zhengbing Zhu,Jusheng Jia,James Weiquan Li,Wenxiang Weng
出处
期刊:Journal of physics
[IOP Publishing]
日期:2021-11-01
卷期号:2083 (3): 032075-032075
被引量:5
标识
DOI:10.1088/1742-6596/2083/3/032075
摘要
Abstract 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI