Open Access

ARTICLE

Detection of Graphene Cracks By Electromagnetic Induction, Insensitive to Doping Level

Taeshik Yoon^1,†, Sumin Kang^1,†, Tae Yeob Kang¹, Taek-Soo Kim^1,2,*

1 Department of Mechanical Engineering, KAIST, Daejeon 34141, Korea.
2 Graphene Research Center, KAIST, Daejeon 34141, Korea.
†These authors equally contributed to this work.

*Corresponding Author: Taek-Soo Kim. Email: .

(This article belongs to the Special Issue: Nano/Micro Structures in Application of Computational Mechanics)

Computer Modeling in Engineering & Sciences 2019, 120(2), 351-361. https://doi.org/10.32604/cmes.2019.06672

Abstract

Detection of cracks is a great concern in production and operation processes of graphene based devices to ensure uniform quality. Here, we show a detection method for graphene cracks by electromagnetic induction. The time varying magnetic field leads to induced voltage signals on graphene, and the signals are detected by a voltmeter. The measured level of induced voltage is correlated with the number of cracks in graphene positively. The correlation is attributed to the increasing inductive characteristic of defective graphene, and it is verified by electromagnetic simulation and radio frequency analysis. Furthermore, we demonstrate that the induced voltage signal is insensitive to the doping level of graphene. Our work can potentially lead to the development of a high-throughput and reliable crack inspection technique for mass production of graphene applications.

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