Simulation of Thermal Processes in Metamaterial MM-to-IR Converter for MM-wave Imager

2nd International Conference on Mathematical Modeling in Physical Sciences 2013

物理学;数学

Zagubisalo, Peter S.^1 ; Paulish, Andrey G.^1 ; Kuznetsov, Sergey A.^2

Novosibirsk Branch of the Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, 630090, Russia^1

Novosibirsk State University, Novosibirsk, 630090, Russia^2

关键词: Converter structure;    Metamaterial absorbers;    Modeling for simulations;    Multilayer structures;    Resonant absorption;    Self-supporting film;    Temperature increase;    Thermophysical process;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/490/1/012174/pdf
DOI  :  10.1088/1742-6596/490/1/012174

来源: IOP

【 摘 要 】

The main characteristics of MM-wave image detector were simulated by means of accurate numerical modelling 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 micrometers 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.