| Autor: |
Amir Galehdar, Andrew Amiet |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO). |
| DOI: |
10.1109/nemo.2019.8853763 |
| Popis: |
In this paper, a Genetic Algorithm optimization routine is used to design Jaumann style Radar absorbers, using a mixture of graphite and acrylic paint (“Dulux Weathershield”) to build up the required resistive lossy layers. The effects of graphite concentration and layer thickness on the conductivity and surface resistivity are discussed in detail. It is shown that the permittivity of the graphite in paint mixtures can be predicted using numerical analysis. The absorbing performance of these absorbers are measured and compared with simulation results. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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