Subhradeep Mandal, Injamamul Arief, Soosang Chae, Muhammad Tahir, Tung X. Hoang, Gert Heinrich, Sven Wießner, Amit Das
{"title":"利用机械坚固改性天然橡胶中的双动力可逆网络的自修复混合压阻三电传感器和纳米发电机","authors":"Subhradeep Mandal, Injamamul Arief, Soosang Chae, Muhammad Tahir, Tung X. Hoang, Gert Heinrich, Sven Wießner, Amit Das","doi":"10.1002/adsr.202400036","DOIUrl":null,"url":null,"abstract":"<p>The greener alternatives to tactile-integrated multimodal sensors with self-powered and self-healing abilities are highly desirable for all-in-one autonomous sensing systems, particularly impressive in diverse application ranges including smart home, healthcare, and e-skin. The dynamically self-healable, stretchable piezoresistive sensors, and triboelectric nanogenerators (TENGs) reported herein are constructed by a facile, industrially viable method of grafting imidazolium ions on epoxidized natural rubber (ENR) backbone. Owing to cation-<i>π</i> and <i>π–π</i> interaction between the percolated carbon nanotubes (CNTs)-network and the imidazolium ions formed by non-covalent interactions, the interfacial adhesion between the filler and elastomer is shown to improve considerably. The sensors show high piezoresistive strain sensitivity, reversible ionic network-assisted self-healability (efficiency ≈80%) and wide-ranging detectability for precise monitoring of human movements. Both the healed and pristine sensors feature low hysteresis and stable electrical outputs over a wide strain range (≤200%). While achieving rapid self-healing efficiency, the substrates are shown to exhibit remarkable robustness for harsh climates owing to significant mechanical toughness. Supported by excellent triboelectric tactile sensitivity (2.12 V N<sup>−1</sup>), the multifunctional TENG-enabled sensor yields superior power density (0.16 mW cm<sup>−2</sup>). 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引用次数: 0
摘要
对于一体化自主传感系统而言,具有自供电和自修复能力的触觉集成多模态传感器是非常理想的绿色替代品,尤其是在智能家居、医疗保健和电子皮肤等各种应用领域,这种绿色替代品令人印象深刻。本文所报道的动态自修复、可拉伸压阻传感器和三电纳米发电机(TENGs)是通过在环氧化天然橡胶(ENR)骨架上接枝咪唑离子的简便、工业化可行的方法构建的。由于渗碳纳米管(CNTs)网络与咪唑离子之间通过非共价作用形成的阳离子-π和π-π相互作用,填料与弹性体之间的界面粘附性得到了显著改善。这种传感器具有很高的压阻应变灵敏度、可逆的离子网络辅助自愈能力(效率≈80%)和广泛的可探测性,可精确监测人体运动。已愈合和未愈合的传感器都具有低滞后性,并在较宽的应变范围(≤200%)内具有稳定的电输出。在实现快速自愈合效率的同时,由于基底具有显著的机械韧性,因此在恶劣的气候条件下也表现出卓越的坚固性。在出色的三电触觉灵敏度(2.12 V N-1)的支持下,支持 TENG 的多功能传感器产生了卓越的功率密度(0.16 mW cm-2)。此外,TENG 模块还具有高力灵敏度和易操作性,可用于未来技术中的全天候集成触觉解决方案。
Self-Repairable Hybrid Piezoresistive-Triboelectric Sensor Cum Nanogenerator Utilizing Dual-Dynamic Reversible Network in Mechanically Robust Modified Natural Rubber
The greener alternatives to tactile-integrated multimodal sensors with self-powered and self-healing abilities are highly desirable for all-in-one autonomous sensing systems, particularly impressive in diverse application ranges including smart home, healthcare, and e-skin. The dynamically self-healable, stretchable piezoresistive sensors, and triboelectric nanogenerators (TENGs) reported herein are constructed by a facile, industrially viable method of grafting imidazolium ions on epoxidized natural rubber (ENR) backbone. Owing to cation-π and π–π interaction between the percolated carbon nanotubes (CNTs)-network and the imidazolium ions formed by non-covalent interactions, the interfacial adhesion between the filler and elastomer is shown to improve considerably. The sensors show high piezoresistive strain sensitivity, reversible ionic network-assisted self-healability (efficiency ≈80%) and wide-ranging detectability for precise monitoring of human movements. Both the healed and pristine sensors feature low hysteresis and stable electrical outputs over a wide strain range (≤200%). While achieving rapid self-healing efficiency, the substrates are shown to exhibit remarkable robustness for harsh climates owing to significant mechanical toughness. Supported by excellent triboelectric tactile sensitivity (2.12 V N−1), the multifunctional TENG-enabled sensor yields superior power density (0.16 mW cm−2). Moreover, the TENG module exhibits high force sensitivity and ease of operation that are considered versatile for all-weather integrated tactile solutions for future technology.