Modeling a Lossy Dieletric Polymer-based Thermoacoustic High Power Microwave Directed Energy Exposure Detection System
Modeling a Lossy Dieletric Polymer-based Thermoacoustic High Power Microwave Directed Energy Exposure Detection System
复制标题
对基于有损介电聚合物的热声高功率微波定向能量暴露检测系统进行建模
作者：
J. J. Frey;R. Cobb;J. McClory
摘要 提出了潜在检测和测量技术的设计考虑因素，该技术可以利用热声（TA）波生成作为场相互作用机制，为部队健康保护应用提供高功率微波（HPM）定向能武器暴露的操作意识。 HPM 电磁频率 (EMF) 体制用于反物质和非致命反人员设计空间的应用，由于入射光束的时域和频域特性可能存在较大变化，因此提出了实时人员暴露警告挑战。与其他电磁热相互作用一样，热声波效应提供了确定电磁能量和功率沉积的潜力，而无需测量环境场强度值或过载敏感的电磁场测量设备。在测量相关的电磁、热和弹性材料属性值之后，使用商业有限元方法多物理场仿真软件包 COMSOL 对受到脉冲 HPM 影响的碳填充聚四氟乙烯 (CF-PTFE) 有损介电介质进行计算建模。该仿真用于探索各种材料特性对 TA 信号输出的影响（作为仿真入射场功率密度、EM 频率和脉冲长度的函数），从而为系统组件的选择提供信息，以进一步开发基于 TA 的完整 HPM 检测链。
Abstract Presented are design considerations for a potential detection and measurement technique that could provide operational awareness of high power microwave (HPM) directed energy weapon exposure for force health protection applications, leveraging thermoacoustic (TA) wave generation as the field interaction mechanism. The HPM electromagnetic frequency (EMF) regime, used in applications in both the counter-materiel and non-lethal counter-personnel design space, presents real-time personnel exposure warning challenges due to the potentially wide variation in time and frequency domain characteristics of the incident beam. As with other EM-thermal interactions, the thermoacoustic wave effect provides the potential to determine EM energy and power deposition without the need to measure ambient field intensity values or overload-sensitive EMF survey equipment. Following measurement of relevant EM, thermal, and elastic material property values, a carbon-filled polytetrafluoroethylene (CF-PTFE) lossy dielectric medium subject to pulsed HPM was computationally modeled using the commercial finite element method multi-physics simulation software package COMSOL. The simulation was used to explore the impacts of various material properties on TA signal output as a function of simulated incident field power density, EM frequency, and pulse length, thereby informing the selection of system components for the further development of a full TA-based HPM detection chain.