4.8 Article

Stretchable Strain Vector Sensor Based on Parallelly Aligned Vertical Graphene

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 11, 期 1, 页码 1294-1302

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.8b18210

关键词

wearable strain sensor; parallelly aligned vertical graphene; stretching direction and amplitude; strain vector detection; human-sensor interface

资金

  1. National Natural Science Foundation of China [61771498, 51705543, 31530023]
  2. 100 Talents Program of Sun Yat-Sen University [76120-18821104]
  3. Science and Technology Program of Guangzhou, China [201803010097]
  4. Science and Technology Planning Project of Guangdong Province for Industrial Applications [2017B090917001]

向作者/读者索取更多资源

The development of wearable strain sensors for the human machine interface has attracted considerable research interest. Most existing wearable strain sensors were incapable of simultaneously detecting strain amplitudes and directions, and they failed to fully record stretching vectors that occurred on the body. Graphene and graphene-derived materials have been utilized to construct wearable strain sensors with excellent electrical sensitivities. Although the growth techniques of planar graphene and vertical graphene (VG) have been established, the fabrication of VG aligned in parallel within a larger area has not been previously achieved. Here, parallelly aligned VG (PAVG) in a large area was successfully fabricated and constructed as a wearable strain vector sensor. The PAVG was fabricated via inductively coupled plasma chemical vapor deposition assisted by metal inducers. The as fabricated sensor was electrically anisotropic because of the profiles of the VG nanosheets aligned in parallel. Therefore, the sensor could simultaneously and sensitively detect the direction and the amplitude of the strain vectors with excellent accuracy. Application of this strain vector sensor for the human sensor interface to identify the stretching directions and amplitudes of finger joints was also demonstrated. This work established the fabrication methodology of graphene with unique vertical and parallel alignment morphology. This study introduced a new opportunity of developing wearable sensors that could fully detect multidirectional human actions.

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