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软活性收缩材料的数值模拟方法

Yali Li1, Nakhiah C Goulbourne2

  • 1University of Michigan, Ann Arbor, USA.

Scientific reports
|June 26, 2023
PubMed
概括

研究人员开发了一种新模型,以预测软,异性质材料在电场下如何变形. 这使得软机器人和生物技术中的应用能够精确控制形状变化.

科学领域:

  • 材料科学 材料科学 材料科学
  • 机械学 机械学 机械学
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 具有可调整的重新配置性和合规性的软材料对于软机器人和生物技术等先进应用至关重要.
  • 现有的软材料变形预测模型有限,阻碍了复杂设备的设计.

研究的目的:

  • 开发一个预测模型来编程复杂的3D变形在软的,内在的异性质材料.
  • 建立一个基于机械的软变形材料设计框架.

主要方法:

  • 在连续力学框架内使用基于不变数的配方推导出了一个新的构成模型.
  • 实施计算模拟来预测3D形状对电场激活的反应.
  • 通过模拟收缩单元和/或电场应用方向来控制材料变形.

主要成果:

  • 成功模拟了软异性质材料中复杂的3D形状变化.
  • 通过可控变形证明了各种高斯曲面的形成.
  • 验证了新构成模型的预测能力.

结论:

  • 开发的构成模型为设计和预测软变形材料的行为提供了一个强大的框架.

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  • 这项工作促进了软材料的按需重新配置,用于先进的执行器应用.
  • 预计这些发现将激发创造具有内在异性质的新型软活性材料的灵感.