材料科学
自愈水凝胶
纳米技术
离子键合
电压
制作
离子液体
爬行
软机器人
机械能
调制(音乐)
摩擦系数
还原(数学)
人工肌肉
机器人
金属
复合材料
机械工程
化学工程
仿生学
极限(数学)
智能材料
作者
Chenxu Liu,Yuan Yao,Yuanyuan Wang,Qi Zhou,Ziqian Zhao,Chenyu Qiao,Yongxiang Sun,Yonggang Meng,Yu Tian,Hongbo Zeng
标识
DOI:10.1002/adma.202518350
摘要
Real-time regulation of friction from conventional dry states to ultra-low levels represents a critical strategy for improving energy efficiency and enabling the intelligent design of adaptive systems. Yet, current friction-control methods typically achieve only modest modulation and often rely on liquid lubricants at macroscopic scales, which impose stringent sealing requirements and limit practical applications. Here, an electric-field strategy is reported for friction modulation using a polyvinyl alcohol-based ionic hydrogel as an electroresponsive frictional material. During sliding against a metal ball, the friction coefficient (COF) can be reversibly modulated by more than fifty-fold under low voltage control (-30 V to +30 V), without the need for external lubricants. Remarkably, the COF decreases to 0.03 at -30 V (with the metal ball connected to the negative pole), while at 0 V or +30 V it increases to 1-2. Mechanistic analyses reveal that positive charging of the ionic hydrogel triggers electroosmotic extraction of a salt-rich interfacial layer, driving the dramatic reduction in friction. It further demonstrates the first crawling robot and precision robotic arm manipulation powered by electrotunable friction, establishing a new paradigm for adaptive and energy-efficient robotic and mechanical systems.
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