Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology
Metamaterials are usually designed using biomimetic technology based on natural biological characteristics or topology optimization based on prior knowledge. Although satisfactory results can be achieved to a certain extent, there are still many performance limitations. For overcoming the above limi...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/16/15/5229 |
| _version_ | 1797586451088539648 |
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| author | Zhipeng Xi Xiaochi Lu Tongsheng Shen Chunrong Zou Li Chen Shaojun Guo |
| author_facet | Zhipeng Xi Xiaochi Lu Tongsheng Shen Chunrong Zou Li Chen Shaojun Guo |
| author_sort | Zhipeng Xi |
| collection | DOAJ |
| description | Metamaterials are usually designed using biomimetic technology based on natural biological characteristics or topology optimization based on prior knowledge. Although satisfactory results can be achieved to a certain extent, there are still many performance limitations. For overcoming the above limitations, this paper proposes a rapid metamaterials design method based on the generation of random topological patterns. This method realizes the combined big data simulation and structure optimization of structure-electromagnetic properties, which makes up for the shortcomings of traditional design methods. The electromagnetic properties of the proposed metamaterials are verified by experiments. The reflection coefficient of the designed absorbing metamaterial unit is all lower than −15 dB over 12–16 GHz. Compared with the metal floor, the radar cross section (RCS) of the designed metamaterial is reduced by a minimum of 14.5 dB and a maximum of 27.6 dB over the operating band. The performance parameters of metamaterial obtained based on the random topology design method are consistent with the simulation design results, which further verifies the reliability of the algorithm in this paper. |
| first_indexed | 2024-03-11T00:23:26Z |
| format | Article |
| id | doaj.art-7109bde1fcda40b0acf1b98e0ebde02b |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-11T00:23:26Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-7109bde1fcda40b0acf1b98e0ebde02b2023-11-18T23:10:33ZengMDPI AGMaterials1996-19442023-07-011615522910.3390/ma16155229Research on Design Method of Multilayer Metamaterials Based on Stochastic TopologyZhipeng Xi0Xiaochi Lu1Tongsheng Shen2Chunrong Zou3Li Chen4Shaojun Guo5National Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaNational Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaNational Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaNational Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaNational Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaNational Institute of Defense Technology Innovation, Academy of Military Sciences PLA China, Beijing 100171, ChinaMetamaterials are usually designed using biomimetic technology based on natural biological characteristics or topology optimization based on prior knowledge. Although satisfactory results can be achieved to a certain extent, there are still many performance limitations. For overcoming the above limitations, this paper proposes a rapid metamaterials design method based on the generation of random topological patterns. This method realizes the combined big data simulation and structure optimization of structure-electromagnetic properties, which makes up for the shortcomings of traditional design methods. The electromagnetic properties of the proposed metamaterials are verified by experiments. The reflection coefficient of the designed absorbing metamaterial unit is all lower than −15 dB over 12–16 GHz. Compared with the metal floor, the radar cross section (RCS) of the designed metamaterial is reduced by a minimum of 14.5 dB and a maximum of 27.6 dB over the operating band. The performance parameters of metamaterial obtained based on the random topology design method are consistent with the simulation design results, which further verifies the reliability of the algorithm in this paper.https://www.mdpi.com/1996-1944/16/15/5229stochastic topologymetamaterial structure designbig dataautomatic design |
| spellingShingle | Zhipeng Xi Xiaochi Lu Tongsheng Shen Chunrong Zou Li Chen Shaojun Guo Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology Materials stochastic topology metamaterial structure design big data automatic design |
| title | Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology |
| title_full | Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology |
| title_fullStr | Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology |
| title_full_unstemmed | Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology |
| title_short | Research on Design Method of Multilayer Metamaterials Based on Stochastic Topology |
| title_sort | research on design method of multilayer metamaterials based on stochastic topology |
| topic | stochastic topology metamaterial structure design big data automatic design |
| url | https://www.mdpi.com/1996-1944/16/15/5229 |
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