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基于变换光学的微波加热用超表面数值研究
引用本文:肖,玮廖胤鸿王凤霞黄卡玛朱铧丞.基于变换光学的微波加热用超表面数值研究[J].微波学报,2021,37(6):86-91.
作者姓名:  玮廖胤鸿王凤霞黄卡玛朱铧丞
作者单位:1. 贵州大学 大数据与信息工程学院,贵阳 550025; 2. 西南大学 电子信息与工程学院,重庆 400715; 3. 瓮福(集团)有限责任公司 中低品位磷矿及其共伴生资源高效利用国家重点实验室,贵阳 550014; 4. 四川大学 电子信息学院,成都 610064
基金项目:贵州省科技计划项目(黔科合基础-ZK[2021]一般298);中低品位磷矿及其共伴生资源高效利用国家重点 实验室开放基金课题(WFKF2020-09)
摘    要:由于单个微波源的功率值有限,工业上往往采用多源微波加热以满足大功率需求。然而,额外 的微波馈口将增加端口间耦合,可能引起微波源损坏。因此,提出一种基于变换光学的新型超表面,使微波在 进入加热腔体的方向上正常传播而在相反方向被阻挡,从而减少功率反射和耦合。在二维数值模型中,采用 反向传播神经网络优化了超表面的介电性能,使得单源和双源微波加热的能量效率分别提高了42. 2%和53. 3%,且 均具有较好的加热均匀性。数值计算结果表明,超表面可工作在2. 45 GHz 频率,具有60 MHz 的带宽,工业应用前 景良好。

关 键 词:超表面  变换光学  微波加热  反向传播神经网络

Numerical Investigation of Metasurfaces Based on Transformation Optics for Microwave Heating
XIAO Wei,LIAO Yin-hong,WANG Feng-xi,HUANG Ka-m,ZHU Hua-cheng.Numerical Investigation of Metasurfaces Based on Transformation Optics for Microwave Heating[J].Journal of Microwaves,2021,37(6):86-91.
Authors:XIAO Wei  LIAO Yin-hong  WANG Feng-xi  HUANG Ka-m  ZHU Hua-cheng
Abstract:Due to the power limitation of single microwave source, the multi-source microwave heating is widely adopted in high-power industrial applications. However, the additional microwave feeding ports will increase the port-to-port power coupling, which may damage the microwave sources. In this paper, a novel kind of metasurfaces based on transformation optics is proposed to decrease the power reflection and coupling by transmitting the microwave in the direction of entering the microwave applicator but blocking it in the reverse direction. In the two dimensional numerical model, the dielectric properties of the metasurfaces are optimized by the back propagation neural network and the energy efficiency can be improved by 42. 2% and 53. 3% in the single and dual-port microwave applicators, respectively, both of which have good heating uniformity. The numerical calculation results show that the metasurfaces can work well at 2. 45 GHz with a bandwidth of 60 MHz, which has beneficial industrial application prospects.
Keywords:metasurfaces  transformation optics  microwave heating  back propagation neural network
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