材料科学
超材料吸收剂
电磁屏蔽
谐振器
超材料
微波食品加热
分裂环谐振器
光学
吸收(声学)
X波段
等效电路
光电子学
反射系数
可调谐超材料
物理
复合材料
电压
量子力学
作者
Md. Bellal Hossain,Mohammad Rashed Iqbal Faruque,Mohammad Tariqul Islam,Mandeep Singh,Muzammil Jusoh
标识
DOI:10.1016/j.jmrt.2022.03.079
摘要
In this paper, a double E-shaped symmetric split ring resonators metamaterial inspired triple band microwave metamaterial absorber (MA) for EMI shielding and stealth applications in C and X band is presented. The proposed absorber comprises double E shaped with two modified split ring resonators-based copper resonators separated by a FR-4 dielectric layer with a thickness of 1.6 mm and back annealed copper with 0.035 mm thickness and an electrical dimension of 0.179λ × 0.179λ, λ is computed at the frequency of 5.376 GHz. The simulated results derived from CST Microwave Studio simulator show that there are three absorption peaks at 5.376, 10.32 and 12.25 GHz with an absorption of 99.9%, 99.9% and 99.7%, respectively. An equivalent circuit model of the absorber is used to study the reflection coefficient characteristics and E-field, H-field and surface current distributions are investigated at absorption peaks in order to understand the electromagnetic wave absorption mechanism. Parametric analyses were also performed to select the appropriate absorption frequencies. In addition, the metamaterial absorber unit cell structure shows nearly perfect absorptions over a wide angle of incidences up to 60° for both TE and TM mode. The proposed MA has a triple band shielding behavior and provides the shielding effectiveness, greater than 40 dB for the entire band for both simulated and measured condition, which is a reasonable reduction in the RF signal to reduce the impact on devices susceptible to electromagnetic interference. The simulated, equivalent circuit model and experimental results for validation purposes showed that the complete results are mutually supportive. The proposed microwave metamaterial absorber is expected to be useful for EMI shielding and stealth applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI