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Study on electromagnetic wave absorption properties of graphene/FeSiAl/polylactic acid composites prepared by fused deposition modeling

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Abstract

Devices with complex structures are usually fabricated by fused deposition modeling (FDM) 3D printing technology. In this work, graphene (GR)/FeSiAl/polylactic acid (PLA) composites with various contents of graphene were successfully prepared by FDM 3D printing technology. The mechanical properties of the composites deteriorated, and the absorption properties gradually increased with increasing graphene content. The GR/FeSiAl/PLA composites containing 30 wt% FeSiAl and 4 wt% graphene exhibit a maximum reflection loss (RL) value of − 46.63 dB, and the effective absorption bandwidth (EAB, RL ≤ − 10 dB) is 4.80 GHz (13.2–18 GHz) with a sample thickness of 2.2 mm. Meanwhile, the maximum RL value is − 31.53 dB and the EAB is 6.40 GHz (11.6–18 GHz) of GR/FeSiAl/PLA composites with graphene content of 5 wt% and FeSiAl content of 30 wt% with the same thickness. The excellent absorption properties of these composites are attributed to good impedance matching, and the synergistic effect of dielectric loss and magnetic loss.

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Acknowledgments

This work is financially supported by the Open Fund of Hubei Engineering Research Center for Graphite Additive Manufacturing Technology and Equipment (Nos. HRCGAM202101and HRCGAM202103).

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  1. Hubei Engineering Research Center for Graphite Additive Manufacturing Technology and Equipment, China Three Gorges University, Yichang, 443002, Hubei, The People’s Republic of China

    **cong Ye, Enyi He, Yongsheng Ye & Haihua Wu

  2. College of Mechanical and Power Engineering, China Three Gorges University, Yichang, 443002, Hubei, The People’s Republic of China

    **cong Ye, Chao Yang, Peng Yang, Qi Gao, Di Ding, Enyi He, Yongsheng Ye & Haihua Wu

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  1. **cong Ye
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Ye, X., Yang, C., Yang, P. et al. Study on electromagnetic wave absorption properties of graphene/FeSiAl/polylactic acid composites prepared by fused deposition modeling. Journal of Materials Research 38, 1620–1633 (2023). https://doi.org/10.1557/s43578-023-00913-1

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