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数字机械元材料:编码机械信息与适应软机器的图形刚度模式
Jun Kyu Choe1, Jiyoon Yi1, Hanhyeok Jang1
1Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.
Advanced materials (Deerfield Beach, Fla.)
|October 18, 2023
概括
研究人员开发了一种由章鱼启发的新型可编程材料. 这种柔软的机器材料可以通过数字方式改变其刚性,从而使先进的软机器人能够进行可适应的形状变化和能量吸收.
科学领域:
- 材料科学 材料科学 材料科学
- 机器人技术 机器人技术 机器人技术
- 生物模拟技术的使用
背景情况:
- 软机器为非结构化环境提供了潜力,但缺乏适应性.
- 目前的软机具有有限的实时调整性和重编程性.
- 像章鱼这样的生物体表现出卓越的适应能力.
研究的目的:
- 引入一种可编码的多功能材料,用于机械能力的现场编程.
- 克服软机器实时调整性和可重编程性能的局限性.
- 创建一个迈向完全适应软机器人和智能交互机器的脚石.
主要方法:
- 使用图形刚度模式来编程机械性能.
- 独立切换组成单位的数字二进制刚度状态 (软或刚).
- 采用一个简单的auxetic结构与圆的空隙.
主要成果:
- 证明了机械品质的现场和渐变调性.
- 实现了多功能形状变化,形状记忆和可调节的应力应变反应.
- 展示了可调整的波桑比率和面向应用的功能,如能量吸收和压力传递.
结论:
- 数字可编程材料可以实现多功能机械编程,无需外部基础设施.
- 这一创新为开发多环境软机器人和交互机器铺平了道路.
- 该材料模仿生物适应性,增强软机器性能.
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