板状晶格元材料发现的实验机械师
Songtao Hu1, Haoran Li2, Wenhui Lu2
1State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. hsttaotao@sjtu.edu.cn.
Nature communications
|March 15, 2026
概括
本研究引入了一种自动化实验方法 (ExMech),用于发现轻质,高强度板状晶格元材料. 它显著减少了实验力度,同时提高了3D打印中底板等应用的机械性能.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 超材料是什么?超材料是什么?
背景情况:
- 板格子超材料提供优越的强度与重量比较于传统的格子.
- 优化这些具有多个参数和目标的复杂结构是一个重大挑战.
研究的目的:
- 开发一个自动化实验机械师 (ExMech) 以有效识别轻质和高强度板状晶格元材料.
- 在一个多目标空间内的板混合格子中探索结构-属性关系.
主要方法:
- 整合一个机器人平台,用于标准化数据采集.
- 应用一个多目标的积极学习框架,以实现指导优化.
- 在三个变量和三个目标上优化板混合格子.
主要成果:
- 在25次代内建立帕雷托前线,大大减少了实验工作量.
- 识别帕雷托最佳组合,显著改善了压力 (15.6%) 和剪切 (12.0%) 屈服强度,而不增加重量.
- 强度优先格子的演示,在轻微增加重量 (13.2%) 时获得了实质性的收益 (158.5%的压力,194.8%的剪切).
结论:
- 该ExMech方法使自我优化实验能够加速发现新型机械超材料.
- 对变量-目标关系和故障模式的分析为结构效率提供了洞察力.
- 发现的格子显示了应用的潜力,例如可调节的3D打印中底.
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