形状记忆合金驱动的纤维-弹性体复合材料的偏移和性能分析,具有无otropic 结构
Anett Endesfelder1,2, Achyuth Ram Annadata3, Aline Iobana Acevedo-Velazquez4
1Institute of Materials Science, Faculty of Mechanical Science and Engineering, TUD Dresden University of Technology, Helmholtzstraße 7, 01069 Dresden, Germany.
Materials (Basel, Switzerland)
|October 16, 2024
概括
这项研究开发了一种纤维elastomer复合材料,用于软机器人的形状记忆合金 (SMA) 线. 一个多传感器摄像系统有效地描述了其复杂的曲和扭曲,优化了能量输入以提高效率和寿命.
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
- 智能材料是一种智能材料.
背景情况:
- 形状记忆合金 (SMA) 是先进的智能材料,在软机器人,仿生学和医学领域都有应用.
- 开发具有复杂运动的执行器,如曲和扭曲,具有重大计量挑战,特别是大变形.
- 在纤维elastomer复合材料中集成的SMA电线可以实现异型驱动.
研究的目的:
- 开发和研究一种与SMA电线集成的新型纤维elastomer复合执行器.
- 为了应对在特征执行器与联合曲和扭曲的计量学挑战.
- 实验分析能量输入和激活参数,以获得最佳的效率和执行器寿命.
主要方法:
- 开发一种带有集成SMA线的纤维elastomer复合材料.
- 使用多传感器摄像系统 (最多4对) 来进行大变形的3D动作捕捉.
- 对输入能量,激活时间和偏移效率的实验研究.
- 温度计用于监测SMA电线在启动过程中的加热.
主要成果:
- 多传感器摄像系统成功捕捉并分析了复合执行器的3D运动.
- 分析了激活参数,以确定最佳的能量输入,以实现高效的偏移,并防止过热.
- 该研究确定了最大限度地提高执行器效率和寿命的条件.
结论:
- 开发的SMA集成复合材料对需要复杂执行的应用具有前景.
- 多传感器摄像系统为表征这些先进的执行器提供了强大的解决方案.
- 优化能量输入和执行参数对于基于SMA的执行器的实际应用和耐用性至关重要.
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