| CONDENSED MATTER: STRUCTURE, MECHANICAL AND THERMAL PROPERTIES |
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Simulation Study on the Controllable Dielectrophoresis Parameters of Graphene |
| Jian-Long Ji1,2, Ya-Li Liu1, Yang Ge1, Sheng-Dong Xie1, Xi Zhang1, Sheng-Bo Sang1**, Ao-Qun Jian1, Qian-Qian Duan1, Qiang Zhang1, Wen-Dong Zhang1 |
1Key Lab of Advanced Transducers and Intelligent Control System (Ministry of Education), Taiyuan University of Technology, Taiyuan 030024
2Advanced Coal Mine Machinery and Equipment Collaborative Innovation Center of Shanxi Province, Taiyuan University of Technology, Taiyuan 030024
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| Cite this article: |
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Jian-Long Ji, Ya-Li Liu, Yang Ge et al 2017 Chin. Phys. Lett. 34 046601 |
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Abstract The method of using dielectrophoresis (DEP) to assemble graphene between micro-electrodes has been proven to be simple and efficient. We present an optimization method for the kinetic formula of graphene DEP, and discuss the simulation of the graphene assembly process based on the finite element method. The simulated results illustrate that the accelerated motion of graphene is in agreement with the distribution of the electric field squared gradient. We also conduct research on the controllable parameters of the DEP assembly such as the alternating current (AC) frequency, the shape of micro-electrodes, and the ratio of the gap between electrodes to the characteristic/geometric length of graphene ($\lambda$). The simulations based on the Clausius–Mossotti factor reveal that both graphene velocity and direction are influenced by the AC frequency. When graphene is close to the electrodes, the shape of micro-electrodes will exert great influence on the velocity of graphene. Also, $\lambda$ has a great influence on the velocity of graphene. Generally, the velocity of graphene would be greater when $\lambda$ is in the range of 0.4–0.6. The study is of a theoretical guiding significance in improving the precision and efficiency of the graphene DEP assembly.
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Received: 19 December 2016
Published: 21 March 2017
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| PACS: |
66.20.Cy
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(Theory and modeling of viscosity and rheological properties, including computer simulation)
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64.70.qj
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(Dynamics and criticality)
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47.65.-d
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(Magnetohydrodynamics and electrohydrodynamics)
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| Fund: Supported by the Basic Research Project of Shanxi Province under Grant No 2015021092, the National Natural Science Foundation of China under Grant Nos 61471255, 61474079, 61501316, 51505324 and 51622507, and the National High-Technology Research and Development Program of China under Grant No 2015AA042601. |
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