Ultra-Wideband Polarization Conversion Metasurface Based on Topology Optimal Design and Geometry Tailor

Authors

  • Sai Sui College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China
  • Jibao Yu College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China
  • Hua Ma College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China
  • Jieqiu Zhang College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China
  • Jiafu Wang College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China
  • Zhuo Xu Electronic Materials Research Laboratory Key Laboratory of the Ministry of Education Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China
  • Shaobo Qu College of Science, Air Force Engineering University Xi'an, Shaanxi 710051, China

Keywords:

Genetic Algorithm (GA), geometry tailor, Metamaterials (MMs), metasurface, topology design

Abstract

We presented a topology optimization method based on genetic algorithm (GA) combined geometry tailor scheme (GTS) to realize ultra-wideband polarization conversion metasurfaces (UPCM) in microwave range. The present method takes the connectivity condition of the elements into consideration, thereby resulting in good optimization efficiency. As examples, a UPCM is designed by topology optimization, which is composed of the dielectric substrate sandwiched with patched metallic patterns and continuous metal background. Three plasmon resonances are generated by electric and magnetic resonances, which lead to bandwidth expansion of cross-polarization reflection. The simulated results show that the maximum conversion efficiency is nearly 100% at the three plasmon resonance frequencies and the 3 dB bandwidth range from 5.66 to 24.68 GHz can be achieved for both normally incident x- and y-polarized waves.

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References

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Published

2021-08-18

How to Cite

[1]
S. . Sui, “Ultra-Wideband Polarization Conversion Metasurface Based on Topology Optimal Design and Geometry Tailor”, ACES Journal, vol. 31, no. 07, pp. 843–846, Aug. 2021.

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General Submission