Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method
Designing thermal conductivity efficiently is one of the most important study fields for taking the advantages of woven composites. This paper presents an inverse method for the thermal conductivity design of woven composite materials. Based on the multi-scale structure characteristics of woven comp...
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MDPI AG
2023-02-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/16/5/1953 |
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| author | Fei Guo Xiaoyu Zhao Wenqiong Tu Cheng Liu Beibei Li Jinrui Ye |
| author_facet | Fei Guo Xiaoyu Zhao Wenqiong Tu Cheng Liu Beibei Li Jinrui Ye |
| author_sort | Fei Guo |
| collection | DOAJ |
| description | Designing thermal conductivity efficiently is one of the most important study fields for taking the advantages of woven composites. This paper presents an inverse method for the thermal conductivity design of woven composite materials. Based on the multi-scale structure characteristics of woven composites, a multi-scale model of inversing heat conduction coefficient of fibers is established, including a macroscale composite model, mesoscale fiber yarn model, microscale fiber and matrix model. In order to improve computational efficiency, the particle swarm optimization (PSO) algorithm and locally exact homogenization theory (LEHT) are utilized. LEHT is an efficient analytical method for heat conduction analysis. It does not require meshing and preprocessing but obtains analytical expressions of internal temperature and heat flow of materials by solving heat differential equations and combined with Fourier’s formula, relevant thermal conductivity parameters can be obtained. The proposed method is based on the idea of optimum design ideology of material parameters from top to bottom. The optimized parameters of components need to be designed hierarchically, including: (1) combing theoretical model with the particle swarm optimization algorithm at the macroscale to inverse parameters of yarn; (2) combining LEHT with the particle swarm optimization algorithm at the mesoscale to inverse original fiber parameters. To identify the validation of the proposed method, the present results are compared with given definite value, which can be seen that they have a good agreement with errors less than 1%. The proposed optimization method could effectively design thermal conductivity parameters and volume fraction for all components of woven composites. |
| first_indexed | 2024-03-11T07:19:20Z |
| format | Article |
| id | doaj.art-1f3f1cf775d343d6a569c833e695ebe1 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-11T07:19:20Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
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| series | Materials |
| spelling | doaj.art-1f3f1cf775d343d6a569c833e695ebe12023-11-17T08:05:12ZengMDPI AGMaterials1996-19442023-02-01165195310.3390/ma16051953Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization MethodFei Guo0Xiaoyu Zhao1Wenqiong Tu2Cheng Liu3Beibei Li4Jinrui Ye5School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, ChinaDepartment of Civil Engineering, Zhejiang College of Construction, Hangzhou 311231, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, ChinaDesigning thermal conductivity efficiently is one of the most important study fields for taking the advantages of woven composites. This paper presents an inverse method for the thermal conductivity design of woven composite materials. Based on the multi-scale structure characteristics of woven composites, a multi-scale model of inversing heat conduction coefficient of fibers is established, including a macroscale composite model, mesoscale fiber yarn model, microscale fiber and matrix model. In order to improve computational efficiency, the particle swarm optimization (PSO) algorithm and locally exact homogenization theory (LEHT) are utilized. LEHT is an efficient analytical method for heat conduction analysis. It does not require meshing and preprocessing but obtains analytical expressions of internal temperature and heat flow of materials by solving heat differential equations and combined with Fourier’s formula, relevant thermal conductivity parameters can be obtained. The proposed method is based on the idea of optimum design ideology of material parameters from top to bottom. The optimized parameters of components need to be designed hierarchically, including: (1) combing theoretical model with the particle swarm optimization algorithm at the macroscale to inverse parameters of yarn; (2) combining LEHT with the particle swarm optimization algorithm at the mesoscale to inverse original fiber parameters. To identify the validation of the proposed method, the present results are compared with given definite value, which can be seen that they have a good agreement with errors less than 1%. The proposed optimization method could effectively design thermal conductivity parameters and volume fraction for all components of woven composites.https://www.mdpi.com/1996-1944/16/5/1953plain woven compositesinverseoptimization designparticle swarm optimization |
| spellingShingle | Fei Guo Xiaoyu Zhao Wenqiong Tu Cheng Liu Beibei Li Jinrui Ye Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method Materials plain woven composites inverse optimization design particle swarm optimization |
| title | Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method |
| title_full | Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method |
| title_fullStr | Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method |
| title_full_unstemmed | Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method |
| title_short | Inverse Identification and Design of Thermal Parameters of Woven Composites through a Particle Swarm Optimization Method |
| title_sort | inverse identification and design of thermal parameters of woven composites through a particle swarm optimization method |
| topic | plain woven composites inverse optimization design particle swarm optimization |
| url | https://www.mdpi.com/1996-1944/16/5/1953 |
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