吸波蜂窝复合材料结构设计及性能研究

doi:10.11896/cldb.25080024

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Abstract Honeycomb materials possess the outstanding advantages of lightweight, high specific strength, excellent compressive properties, good thermal insulation, corrosion resistance. They have been widely applied in aerospace, military equipment, consumer electronics, and demonstrate broad prospects for future development. Current research on microwave-absorbing honeycomb composites is mainly focused onconventio-nal impregnation and coating methods, but these approaches often suffer from poor performance consistency and significant weight increase. Based on this, the present study adopted a filling method, in which chopped carbon fibers were introduced into the pulp to improve the microwave-absorbing performance. The electromagnetic parameters of the absorbing honeycomb paper were measured using the waveguide method within the 2—18 GHz frequency range. A honeycomb structure was modeled in CST software, and simulation results indicated favorable minimum reflection loss (RL_min) and effective absorption bandwidth(RL≤-10 dB). When the chopped carbon fiber content reached 10%, RL_min was -61.2 dB, and the effective absorption bandwidth was 11.5 GHz. Furthermore, a machine learning model was constructed to reveal the correlations between absorber content, honeycomb side length, honeycomb height, honeycomb paper thickness, frequency, and absorption performance. The results show that, aside from frequency, the absorption performance of honeycomb structures is more closely related to honeycomb paper thickness and absorber content.

Key words： honeycomb material chopped carbon fiber stuffing method absorbing property machine learning random forest method

Published: 10 August 2026 Online: 2026-08-31

CLC number:

TB34

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https://www.mater-rep.com/EN/10.11896/cldb.25080024 OR https://www.mater-rep.com/EN/Y2026/V40/I15/25080024

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