下一代疲劳裂生长实验航空航天材料的实验
Tobias Strohmann1, David Melching1, Florian Paysan1
1German Aerospace Center (DLR), Institute of Materials Research, Linder Hoehe, 51147, Cologne, Germany.
Scientific reports
|June 18, 2024
概括
这项研究引入了一个以数据为中心的实验力学基础设施,增强了航空航天材料的疲劳裂增长分析. 这种新的方法加速了知识的发现,并改善了实验的信息与成本比率.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 数据科学数据科学数据科学
背景情况:
- 社会挑战需要智能材料的快速创新.
- 数据驱动的研究加速了化学,材料科学和生命科学领域的发现.
- 实验力学,特别是疲劳裂生长研究,在数字化转型方面落后.
研究的目的:
- 为以数据为中心的实验力学提供一种新的基础设施.
- 解决疲劳裂增长研究中创新周期缓慢的问题.
- 提高研究结构材料疲劳裂增长的效率.
主要方法:
- 开发了一个强大的代码库,用于以数据为中心的分析.
- 集成的多尺度数字图像相关性 (DIC).
- 利用机器人辅助的测试装置进行自动化实验.
主要成果:
- 在疲劳裂生长实验中实现了显著更高的信息与成本比率.
- 实现了材料科学领域更快的创新周期.
- 促进了对结构材料的新科学知识的发现.
结论:
- 数据中心的基础设施是推动实验力学进步的催化剂.
- 这种方法克服了传统标准化程序的局限性.
- 它加速了对结构材料和结构的新科学知识的发现.
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