材料科学
可重构性
磁流变液
纳米技术
粘弹性
超短脉冲
微系统
振动
表面粗糙度
非线性系统
微执行器
刚度
磁场
纳米制造
控制器(灌溉)
可控性
水准点(测量)
表面光洁度
振动控制
飞秒
工作(物理)
压电
领域(数学)
机械工程
解算器
消散
压阻效应
粒子群优化
软机器人
人工肌肉
反推
剪切(地质)
微尺度化学
计算机科学
智能材料
剪应力
维数之咒
聚合物
弹性体
小型化
作者
Jian Chen,Wenjie Chen,Mengmeng Zhao,Xingyu Jiang,Xiaolei Zhu,Xinran Xu,Jiahui Zhao,Yezhong Tang,Stanislav N. Gorb,Keju Ji,Zhendong Dai
标识
DOI:10.1002/adfm.202516421
摘要
Abstract Adhesion/friction engineering underpins critical technologies spanning robotic manipulation, wearable electronics, and advanced manufacturing systems. While bioinspired designs have progressively narrowed the differences in environmental adaptability, a fundamental trade‐off persists: synthetic materials fail to simultaneously achieve rapidly reversible switching and robust multidomain performance on tilted, rough, or dynamically disturbed surfaces. Here, this conflict is resolved by integrating a bioinspired friction pad with a curvature‐magnetogradient smooth pad by field‐programmable vibration‐modulation, achieving: i) benchmark shear strength (131.57 kPa), and >90% retention over 200 cycles; ii) universal surface adaptability (tilt ≥ 3°, roughness ≥ R a 0.8 µm, and > 70% friction retention under 400 Hz/60 µm vibrations); and iii) ultrafast bidirectional regulation (adhesion/friction response time < 30 ms). Gradient magnetic particle distribution across the architecture's cross‐section enables stress homogenization, which enhances the effective work of adhesion while reducing strain energy, and attenuates interfacial fluctuations through nonlinear stiffness amplification. Crucially, this strategy shifts the paradigm of interfacial control from static geometric optimization to spatiotemporally programmable field modulation, establishing a universal adaptive adhesion/friction framework. Its millisecond‐scale reconfigurability and environmental resilience will have broad potential applications, including but not limited to industrial automation, human‐robot collaboration, and biomimetic microsystems operating under dynamic environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI