Optimized Design of Multi-Layer Absorber for Human Tissue Surface

TU Botao; YE Mengqiu; YANG Zhen; LI Jinfeng; LI Guanghui; ZHANG Yuejin

doi:10.23919/cje.2021.00.385

Volume 32 Issue 4

Jul. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(4): 736-746

TU Botao, YE Mengqiu, YANG Zhen, et al., “Optimized Design of Multi-Layer Absorber for Human Tissue Surface,” Chinese Journal of Electronics, vol. 32, no. 4, pp. 736-746, 2023, doi: 10.23919/cje.2021.00.385

Citation:

TU Botao, YE Mengqiu, YANG Zhen, et al., “Optimized Design of Multi-Layer Absorber for Human Tissue Surface,” Chinese Journal of Electronics, vol. 32, no. 4, pp. 736-746, 2023, doi: 10.23919/cje.2021.00.385

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Optimized Design of Multi-Layer Absorber for Human Tissue Surface

doi: 10.23919/cje.2021.00.385

1.
School of Information Engineering, East China Jiaotong University, Nanchang 330013, China
2.
Network & Information Center, East China JiaoTong University, Nanchang 330013, China

Funds: This work was supported by the National Natural Science Foundation of China (92159102, 11862006, 61862025), the Jiangxi Provincial Natural Science Foundation (20202BAB205011), and the Science and Technology Research Project of Jiangxi Education Department (GJJ209928)

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Author Bio:
Botao TU received the B.E. degree in electronic information engineering from School of Information Engineering, Southwest Forestry University in 2018. He is pursuing his master degree at the School of Information Engineering, East China Jiaotong University. His current research interests focuses on internet of vehicles and traffic flow prediction. (Email: 827868454@qq.com)

Mengqiu YE was born in Anhui Province, China. She received the B.E. degree in information engineering from Huaibei Normal University in 2018. She received the M.E. degree in information engineering from East China Jiaotong University in 2022. Her current research interests focuses on internet of artificial intelligence and image processing

Zhen YANG was born in Hubei Province, China. He had an M.E. degree. He is an engineer in East China Jiaotong University, China. His current research interests include computer technology application, network planning, network architecture, network and information security, information system integration, and project management

Jinfeng LI received the B.E. degree in communication engineering from East China Jiaotong University in 2019. His current research interests include machine learning

Guanghui LI received the Ph.D. degree in computer application technology from Hunan University in 2015. He is currently working as a Professor in the Department of Communication Engineering, East China Jiaotong University. His research interests include biological information processing, machine learning, and complex networks

Yuejin ZHANG (corresponding author) received the Ph.D. degree in biomedical engineering from Huazhong University of Science and Technology in 2017. He is currently working as a Professor in the Department of Communication Engineering, East China Jiaotong University. His research interests include image processing technology, algorithm analysis, and mechanical biotechnologies. (Email: zyjecjtu@foxmail.com)
Received Date: 2021-11-04
Accepted Date: 2022-07-29

Available Online: 2022-09-29

Publish Date: 2023-07-05

Abstract

Abstract

In this paper, the structure optimization scheme of multi-layer absorber on the surface of human tissue is designed. The absorber uses graphite, foam and other materials to build a resistance loss layer. Solve the electromagnetic parameters of graphite through its characteristics, use the equivalent transmission line theory to calculate the reflection coefficient. Establish the objective function of the reflection coefficient, and use genetic algorithm to optimize the design of the absorbing device. The experimental results show that compared with the Jaumann type three-layer absorber, the reflection coefficient of the multi-layer absorber optimized by genetic algorithm in this paper has decreased by nearly 13 dB. From the analysis of error and sensitivity, it can be concluded that when the material thickness error is within the range of ±0.005 mm, the microwave absorption performance error of the multilayer absorber is about 5%. Within this error range, the performance of the multilayer absorber can be guaranteed. The sensitivity analysis results of the materials in each layer of the absorber indicate that the concentration and thickness of the graphite layer have the greatest impact on the performance of the absorber.
- Electromagnetic wave,
- Multi-layer,
- Wave-absorber,
- Equivalent transmission line theory,
- Genetic algorithm,
- Electromagnetic parameters

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References(42)

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