Laser & Optoelectronics Progress, Volume. 57, Issue 1, 011602(2020)

Rapid Preparation and Properties of Multi-Layer Graphene Absorber Using Fused Deposition Modeling

Haihua Wu*, Yu Cai, Li Liu, Xueting Fan, and Lei Xing
Author Affiliations
  • Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, College of Mechanical & Power Engineering, China Three Gorges University, Yichang, Hubei 443002, China
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    In this study, single-layer homogeneous samples are rapidly prototyped using fused deposition modeling (FDM) based on the preparation of graphene/polylactide (PLA) composite. Further, the effects of different graphene contents on the electromagnetic parameters are investigated. The wave absorption effect is calculated and analyzed according to the transmission line theory. A composite exhibiting low graphene content is selected as the printing material of transparent layer, whereas a composite exhibiting high graphene content is selected as the printing material of absorption and reabsorption layers. Furthermore, the matching thickness range of the absorption and reabsorption layers is determined using the quarter-wavelength matching model. Subsequently, a three-layer wave absorber comprising different graphene/PLA composite is designed and manufactured. The experimental results denote that a three-layer wave absorber performs significantly better than a single-layer homogeneous wave absorber. The optimal wave absorption effect can be observed when the composites with the graphene mass fractions of 5%, 7%, and 8%, are used as the printing materials of transparent, absorption, and reabsorption layers, respectively. Finally, the reflectivity of such wave absorber in the band of 13.3-18 GHz is less than -10 dB, and the maximum absorption peak is -30 dB at 17 GHz.

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    Haihua Wu, Yu Cai, Li Liu, Xueting Fan, Lei Xing. Rapid Preparation and Properties of Multi-Layer Graphene Absorber Using Fused Deposition Modeling[J]. Laser & Optoelectronics Progress, 2020, 57(1): 011602

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    Paper Information

    Category: Materials

    Received: May. 21, 2019

    Accepted: Jul. 3, 2019

    Published Online: Jan. 3, 2020

    The Author Email: Wu Haihua (wuhaihua@ctgu.edu.cn)

    DOI:10.3788/LOP57.011602

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