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Flexible and Electroactive Ionogel Graphene Composite Actuator

Electrochemical actuators have attracted tremendous attention worldwide because of their critical significance to artificial intelligence. The development of electrochemical actuators—with the merits of low driven-voltage, lightweight, flexibility and large deformation—is an urgent task in the devel...

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Detalles Bibliográficos
Autores principales: Lu, Chao, Chen, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7040789/
https://www.ncbi.nlm.nih.gov/pubmed/32024186
http://dx.doi.org/10.3390/ma13030656
Descripción
Sumario:Electrochemical actuators have attracted tremendous attention worldwide because of their critical significance to artificial intelligence. The development of electrochemical actuators—with the merits of low driven-voltage, lightweight, flexibility and large deformation—is an urgent task in the development of smart technologies. Nanomaterials with special structures and superior properties provide the opportunity for the development and application of smart actuators. Here, we report an electrochemical actuator based on an ionogel graphene composite, which is assembled with simple casting methodology and can be driven with a low voltage of 2.5 V. The flexible sandwich-structured actuator operates under a capacitive mechanism based on asymmetrical volume expansion of active ions under electrical stimulus. It shows a high specific capacitance of 39 F g(−1) at current density of 1 A g(−1) under potential of 2.5 V. The specific capacitance is calculated on the weight of graphene. The device presents a large actuation peak-to-peak displacement of 24 mm at a frequency of 0.1 Hz under the stimulus potential of 2.5 V, and it can still reach a large value of 12 mm at a high frequency of 1 Hz. The free length of the device is 25 mm. Notably, the device exhibits excellent air-working stability at frequency of 1 Hz under 2.5 V with the actuation displacement retention of 98%, even after 10,000 cycles. This study presents insights into the design of smart actuators based on nanomaterials, and will accelerate the development of artificial intelligence.