毫米波成像仪用超材料毫米波-红外转换器热过程模拟

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Modeling Simulation and Scientific Computing Pub Date : 2014-10-01 DOI:10.1142/S1793962314410098
P. S. Zagubisalo, A. G. Paulish, S. Kuznetsov
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引用次数: 0

摘要

通过对超材料毫米波-红外转换器热物理过程的精确数值模拟,模拟了毫米波图像探测器的主要特性。该变换器是由超薄谐振超材料吸收层和完美发射层组成的多层结构。吸收剂由介电自支撑膜组成,该膜从两侧镀上金属。从一侧制作微图案。毫米波的共振吸收引起变换器加热,从而增强发射层的红外发射。红外发射由红外摄像机检测。在本文中,利用COMSOL Multiphysics软件建立了一个精确的数值模型来模拟转炉结构中的热过程。仿真结果与实验结果吻合较好,验证了模型的正确性。仿真结果表明,当变换器厚度小于3 μm时,可以实现实时运行,减小变换器厚度可以改善时间响应。毫米波向红外辐射的能量转换效率在80%以上。在三阶动态范围内,变换器温升与毫米波辐射功率成线性关系。讨论了花期效应及减少花期效应的途径。该模型允许我们选择优化转换器结构和改进图像检测器参数的方法。
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Simulation of thermal processes in metamaterial millimeter-wave to infrared converter for millimeter-wave imager
The main characteristics of millimeter-wave (MM-wave) image detector were simulated by means of accurate numerical modeling of thermophysical processes in a metamaterial MM-to-IR converter. The converter represents a multilayer structure consisting of an ultra thin resonant metamaterial absorber and a perfect emissive layer. The absorber consists of a dielectric self-supporting film that is metallized from both sides. A micro-pattern is fabricated from one side. Resonant absorption of the MM waves induces the converter heating that yields enhancement of IR emission from the emissive layer. IR emission is detected by IR camera. In this contribution an accurate numerical model for simulation of the thermal processes in the converter structure was created by using COMSOL Multiphysics software. The simulation results are in a good agreement with experimental results that validates the model. The simulation shows that the real-time operation is provided for the converter thickness less than 3 μm and time response can be improved by decreasing of the converter thickness. The energy conversion efficiency of MM waves into IR radiation is over 80%. The converter temperature increase is a linear function of a MM-wave radiation power within three orders of the dynamic range. The blooming effect and ways of its reducing are also discussed. The model allows us to choose the ways of converter structure optimization and improvement of image detector parameters.
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CiteScore
2.50
自引率
16.70%
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