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通过多模式建模设计的低歇斯底里形状记忆陶
Edward L Pang1, Gregory B Olson1, Christopher A Schuh2
1Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nature
|October 5, 2022
概括
研究人员为高温形状记忆应用设计了陶. 他们实现了创纪录的低歇斯底里, 使这些先进的陶适用于苛刻的用途.
科学领域:
- 材料科学
- 陶工程
- 阶段转换
背景情况:
- 陶具有马氏体相变,可用于高温形状记忆和超弹性应用.
- 合金可以减少马氏体材料的歇斯底里,但由于体积变化和动力障碍,石存在挑战.
研究的目的:
- 开发一种用于增强晶设计的方法.
- 解决体积变化和转换温度管理等物理限制.
- 利用计算热力学和数据科学来设计新的多元组件组成.
主要方法:
- 增强格子工程方法用于马石设计.
- 计算热力学和数据科学工具的应用
- 探索复杂的,数据稀缺的多元空间.
主要成果:
- 开发了一种具有创纪录低歇斯底里 (15K) 的新合物.
- 这种歇斯底里比典型值低约10倍,比之前报告的最佳值低5倍.
- 实现的歇斯底里可以与广泛使用的形状记忆合金相比较.
结论:
- 开发的方法成功地解决了晶格子工程的局限性.
- 这种新型的合物显示出作为高温形状记忆材料的潜力.
- 这一突破为在极端环境中先进陶应用铺平了道路.
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