摘要
自20世纪80年代以来,微波能的应用几乎扩展到了化学、材料、医学等各个领域。而微波能的应用实际上都直接或间接地与物质的介电特性相关。通过了解物质介电特性,就能研究它们对于微波的吸收和反射情况。因此,微波能应用中的介电系数测量显得尤为重要。而传统的测量方法实现在线测量时有一定的局限性,针对上述问题设计了新型的测量装置,结合神经网络算法对物质的介电系数进行了仿真计算,得到了一些有参考价值的数据,这些工作将对微波能的应用提供帮助。
The microwave energy has been applied to chemistry, materials, and medicine since 1980s. The application of microwave energy is related with permittivity of materials. If the permittivity of materials is known, the absorption and reflection on microwave energy can be obtained. Hence the measurement for permittivity in microwave power applications is very important. However, the traditional measurements have some limitations on realtime measurement. The measurement apparatus has been proposed and the permittivity of materials has been reconstructed by modern optimization algorithm (artificial neural network). The applications of microwave energy have been extended by the valuable data gained. The research work will contribute to application of microwave power.
作者
陈虎
陈倩
刘长军
黄卡玛
龙卓
CHEN Hu;CHEN Qian;LIU Changjun;HUANG Kama;LONG Zhuo(College of Electronical and Information Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100,Sichuan ,China;School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, Sichuan ,China)
出处
《化工学报》
EI
CAS
CSCD
北大核心
2019年第A01期182-185,共4页
CIESC Journal
基金
国家重点基础研究发展计划项目(2013CB328902)
关键词
SIW
测量
介电系数
神经网络
模拟
substrate integrated waveguide
measurement
permittivity
neural network
simulation