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Research Article | Open Access

Pushing the limits of microwave absorption capability of carbon fiber in fabric design based on genetic algorithm

Yuhao Liua,bXiaoxiao Huanga,b( )Xu YancLong XiadTao ZhangdJiahao SunbYanan Liub( )Yu Zhoub
State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin 150001, China
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Beijing Institute of Radio Measurement, China Aerospace Science and Industry Corporation Limited, Beijing 100854, China
School of Materials Science and Engineering, Harbin Institute of Technology, Weihai, Weihai 264209, China
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Abstract

The field of electromagnetic wave absorption (EWA) requires the adaptability, tenability, and multifunction of high-performance materials in the future. The design and preparation of EWA materials aiming at performance requirements is the latest research hotspot. Here, a performance-driven strategy for simultaneously coordinating different target performances was proposed to optimize the structure of the periodical long continuous carbon/glass fiber fabric (PCGF) materials through algorithm and simulation. The optimized structure of the PCGF not only improves the impedance matching, but also introduces the induced orientation effect for a high cooperative loss of conductivity, resonance, and periodic structure. The flexible PCGF shows a broad effective absorption bandwidth (EAB) of 32.7 GHz covering a part of the C-band and the whole X-, Ku-, K-, and Ka-bands with a thickness (d) of only 0.92 mm and a density of 5.6×10−4 kg·cm−3. This highly designable fabric is promising for the EWA practical application owing to integrating the characteristics of good flexibility, acid and alkali resistance, bending resistance, excellent mechanical properties, and easy large-scale preparation.

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Journal of Advanced Ceramics
Pages 329-340
Cite this article:
Liu Y, Huang X, Yan X, et al. Pushing the limits of microwave absorption capability of carbon fiber in fabric design based on genetic algorithm. Journal of Advanced Ceramics, 2023, 12(2): 329-340. https://doi.org/10.26599/JAC.2023.9220686

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Received: 21 May 2022
Revised: 26 October 2022
Accepted: 27 October 2022
Published: 17 January 2023
© The Author(s) 2022.

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