Modeling and Optimization of Electromagnetic Wave Absorbing Epoxy Nano-Coatings Using an Imitation-Based Algorithm

This study investigates the design, processing, and optimization of electromagnetic wave-absorbing nano-coatings based on epoxy matrices reinforced with Al₂O₃, Fe₂O₃, and ZnO nanoparticles. The research focuses on understanding the key parameters influencing microwave absorption and developing multilayer structures capable of minimizing reflection loss over a broad frequency range. Nanoparticles with an average size of ۱۰–۱۰۰ nm were uniformly incorporated into epoxy resins, and the resulting composites were examined through FTIR, SEM, and vector network analysis. SEM results confirmed strong interfacial adhesion between the matrix and fillers, while FTIR spectra indicated no chemical incompatibility, demonstrating effective hydrogen bonding and stable network formation. Network analyzer measurements in the ۸–۱۴ GHz range showed reflection losses of –۱۶.۳ dB for Fe₂O₃, –۱۲.۸ dB for ZnO, and –۱۸.۳ dB for Al₂O₃, corresponding to radar absorption levels of ۸۵%, ۷۷%, and ۸۸%, respectively. To enhance performance, an imitation-based optimization (ISO) algorithm was applied to determine the most efficient multilayer absorber architecture. The optimal configuration, a three-layer epoxy system combining Fe₂O₃, ZnO, and Al₂O₃ nanofillers, achieved a reflection loss of –۴۵ dB, equivalent to approximately ۹۴% microwave absorption. These results highlight the potential of ISO-guided design for engineering advanced radar-absorbing coatings.

کلیدواژه ها:

Radar Absorption Materials ، Epoxy paint ، Algorithm ، Nanocoatings ، electromagnetic wave absorption