机械变形铁素钢的内部缺陷数据库通过X射线计算机断层扫描
Gunjick Lee1,2, Gyeong Hoon Yi1,3, Leslie Ching Ow Tiong4
1Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea.
Scientific data
|November 28, 2025
概括
这项研究介绍了两个新的钢铁内部缺陷数据集,这些数据采用X射线计算机断层扫描 (X-CT) 来捕获. 这些全面的缺陷数据库有助于理解可持续工程应用的材料特性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 非破坏性测试 不破坏性测试
背景情况:
- 钢是关键的结构材料,但其性能受到内部缺陷的影响.
- 了解机械变形过程中的缺陷形成是材料开发的关键.
- 获取缺陷数据具有挑战性,导致有限的综合性研究.
研究的目的:
- 介绍两个新的,关于铁素钢内部缺陷的全面数据集.
- 为了促进在机械变形过程中缺陷形成和演变的定量分析.
- 支持开发可持续和特定应用的钢材材料.
主要方法:
- 利用X射线计算机断层扫描 (X-CT) 进行高分辨率成像.
- 从机械变形的铁钢样本 (拉力和疲劳) 收集的数据.
- 从134个拉力样本中量化了938个缺陷特征,从142个疲劳样本中量化了2,305个缺陷特征.
主要成果:
- 创建了两个关于内部钢铁缺陷的详细数据集.
- 包括高分辨率X-CT图像和量化缺陷指标.
- 能够对缺陷特征进行可靠的统计分析.
结论:
- 提出的数据集解决了全面缺陷信息的稀缺问题.
- 有助于更深入地了解不同变形下钢铁缺陷演变的过程.
- 支持钢材设计和耐久性预测方面的进步.
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