一个包含超过一千个电脑断层扫描电池电池的数据集
Amariah Condon1, Bailey Buscarino1, Eric Moch1
1Glimpse, 444 Somerville Avenue, Somerville, MA 02143, United States.
Data in brief
|July 17, 2024
概括
这项研究介绍了一套数据集,包括1000多个计算机断层扫描 (CT) 扫描,用于电池质量控制. 这些数据揭示了各种电池类型的制造变化和缺陷,有助于可靠性和安全性研究.
科学领域:
- 材料科学 材料科学 材料科学
- 电气工程 电气工程
- 计算机视觉 计算机视觉
背景情况:
- 电池制造的变化极大地影响了设备的可靠性和安全性.
- 计算机断层扫描 (CT) 扫描提供非破坏性3D检查,但由于吞吐量和数据大小,在大批量制造中面临限制.
- 质量控制对于推进全球电气化的电池技术至关重要.
研究的目的:
- 为商用电池提供计算机断层扫描 (CT) 扫描的综合数据集.
- 为了促进对电池制造变异性和使用CT成像检测缺陷的研究.
- 支持电池技术和计算机视觉应用的进步.
主要方法:
- 从商业生产的电池中收集了超过一千张CT扫描.
- 包括各种电池化学成分 (离子,离子) 和形状因素 (圆柱形,袋形,镜形).
- 评估了七种不同的电池类型,以捕捉一系列的制造特性.
主要成果:
- 数据集在视觉上展示了电池生产中固有的制造变化.
- 在CT扫描中可以观察到空洞,分层或错位等缺陷.
- 这些数据为分析电池中的微观结构异常提供了宝贵的资源.
结论:
- 展示的CT扫描数据集是电池质量控制和研究的重要资源.
- 这一数据集可以加速电池自动缺陷检测算法的开发.
- 它可以更深入地了解制造工艺与电池性能/安全之间的关系.
关键词:
电池质量的质量 电池质量电池的可变性 电池的可变性计算机断层扫描 (CT) 是一种计算机断层扫描.计算机视觉 计算机视觉 计算机视觉离子电池是一种离子电池.制造业的变化 制造业的变化离子电池是一种离子电池.更多相关视频
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