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基于变换光学的微波加热用超表面数值研究 被引量:1

Numerical Investigation of Metasurfaces Based on Transformation Optics for Microwave Heating
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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。 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.
作者 肖玮 廖胤鸿 王凤霞 黄卡玛 朱铧丞 XIAO Wei;LIAO Yin-hong;WANG Feng-xia;HUANG Ka-ma;ZHU Hua-cheng(College of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China;College of Electronics and Information Engineering,Southwest University,Chongqing 400715,China;State Key Laboratory of Efficient Utilization for Low Grade Phosphate Rock and Its Associated Resources,Wengfu Group,Guiyang 550014,China;College of Electronics and Information Engineering,Sichuan University,Chengdu 610064,China)
出处 《微波学报》 CSCD 北大核心 2021年第6期86-91,共6页 Journal of Microwaves
基金 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)。
关键词 超表面 变换光学 微波加热 反向传播神经网络 metasurfaces transformation optics microwave heating back propagation neural network
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