在灵感的凝生物人工肌肉 (GBAMs) 中增强耐疲劳电动和能量消耗,使用共价交联聚烯胺来获得卓越的稳定性
Junjie Yang1, Tong Sha1, Zhen Jiang1
1School of Mechanical Engineering, Northeast Electric Power University, Jilin City 132012, People's Republic of China.
Langmuir : the ACS journal of surfaces and colloids
|January 14, 2026
概括
这项研究使用新型3D网络开发了增强的凝生物人工肌肉 (GBAMs). 改进的GBAM表现出优越的电动驱动和明显更好的耐疲劳性能,用于实际应用.
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
- 聚合物化学 聚合物化学
背景情况:
- 凝仿生人造肌肉 (GBAM) 是一个有前途的灵活电动执行器.
- 它们的实际应用受到不良的耐疲劳电动驱动器的限制.
研究的目的:
- 为了增强鱼灵感的GBAMs的电动启动和耐疲劳性.
- 为现实世界使用开发具有更好的稳定性和耐久性的GBAM.
主要方法:
- 使用共价交联聚烯胺 (PAM),氨酸盐和 κ-卡拉基南,创建了一个 3D 互穿网络.
- 通过循环测试,描述了GBAMs的电感应力,工作寿命,弹性模量和疲劳值.
- 利用X射线衍射,FTIR和拉曼光谱来确认交叉连接和网络结构.
主要成果:
- 实现了电动启动力密度增加26%,运行寿命延长2.5倍.
- 显著改善了耐疲劳性,在100个循环后没有裂,疲劳值提高了64%.
- 证实了有效的交叉连接,增强了网络统一性和改进的离子迁移,从而实现了稳定的电动执行.
结论:
- 开发的3D互穿网络显著提高了GBAM性能,特别是耐疲劳性.
- 这些增强的GBAM满足了对稳定的电动执行和耐用性的实际需求.
- 该研究为开发先进的灵活电动执行器提供了新的见解.
相关概念视频
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