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10.3390/nano11081951
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Article

The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm

by
Danfeng Zhang
1,
Congai Han
2,
Haiyan Zhang
2,*,
Bi Zeng
1,*,
Yun Zheng
3,*,
Junyao Shen
2,
Qibai Wu
2 and
Guoxun Zeng
2
1
School of Computers, Guangdong University of Technology, Guangzhou 510006, China
2
School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China
3
State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
*
Authors to whom correspondence should be addressed.
Nanomaterials 2021, 11(8), 1951; https://doi.org/10.3390/nano11081951
Submission received: 15 June 2021 / Revised: 20 July 2021 / Accepted: 26 July 2021 / Published: 29 July 2021
(This article belongs to the Section Nanocomposite Materials)
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Abstract

The optimal design objectives of the microwave absorbing (MA) materials are high absorption, wide bandwidth, light weight and thin thickness. However, it is difficult for single-layer MA materials to meet all of these requirements. Constructing multi-layer structure absorbing coating is an important means to improve performance of MA materials. The carbon-based nanocomposites are excellent MA materials. In this paper, genetic algorithm (GA) and artificial bee colony algorithm (ABC) are used to optimize the design of multi-layer materials. We selected ten kinds of materials to construct the multi-layer absorbing material and optimize the performance. Two algorithms were applied to optimize the two-layer MA material with a total thickness of 3 mm, and it was found that the optimal bandwidth was 8.12 GHz and reflectivity was −53.4 dB. When three layers of MA material with the same thickness are optimized, the ultra-wide bandwidth was 10.6 GHz and ultra-high reflectivity was −84.86 dB. The bandwidth and reflectivity of the optimized material are better than the single-layer material without optimization. Comparing the GA and the ABC algorithm, the ABC algorithm can obtain the optimal solution in the shortest time and highest efficiency. At present, no such results have been reported.
Keywords: microwave absorption; electromagnetic parameters; reflectivity; genetic algorithm; artificial bee colony algorithm microwave absorption; electromagnetic parameters; reflectivity; genetic algorithm; artificial bee colony algorithm

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MDPI and ACS Style

Zhang, D.; Han, C.; Zhang, H.; Zeng, B.; Zheng, Y.; Shen, J.; Wu, Q.; Zeng, G. The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm. Nanomaterials 2021, 11, 1951. https://doi.org/10.3390/nano11081951

AMA Style

Zhang D, Han C, Zhang H, Zeng B, Zheng Y, Shen J, Wu Q, Zeng G. The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm. Nanomaterials. 2021; 11(8):1951. https://doi.org/10.3390/nano11081951

Chicago/Turabian Style

Zhang, Danfeng, Congai Han, Haiyan Zhang, Bi Zeng, Yun Zheng, Junyao Shen, Qibai Wu, and Guoxun Zeng. 2021. "The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm" Nanomaterials 11, no. 8: 1951. https://doi.org/10.3390/nano11081951

APA Style

Zhang, D., Han, C., Zhang, H., Zeng, B., Zheng, Y., Shen, J., Wu, Q., & Zeng, G. (2021). The Simulation Design of Microwave Absorption Performance for the Multi-Layered Carbon-Based Nanocomposites Using Intelligent Optimization Algorithm. Nanomaterials, 11(8), 1951. https://doi.org/10.3390/nano11081951

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