Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set
This study proposes a novel approach that combines a Quartet Structure Generation Set (QSGS) algorithm with the Lattice Boltzmann Method (LBM) to investigate effective thermal conductivity in plant fiber materials. The QSGS algorithm is utilized to construct a two-dimensional digital structure of th...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523007189 |
| _version_ | 1797647983137783808 |
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| author | Rui Li Zihao Wang Hao Dong Mingshan Yang Xiaozheng Sun Quanli Zong Zhi Xu |
| author_facet | Rui Li Zihao Wang Hao Dong Mingshan Yang Xiaozheng Sun Quanli Zong Zhi Xu |
| author_sort | Rui Li |
| collection | DOAJ |
| description | This study proposes a novel approach that combines a Quartet Structure Generation Set (QSGS) algorithm with the Lattice Boltzmann Method (LBM) to investigate effective thermal conductivity in plant fiber materials. The QSGS algorithm is utilized to construct a two-dimensional digital structure of the porous media, enabling the determination of effective thermal conductivity through LBM simulations. The simulation results demonstrate good agreement with experimental data, exhibiting a maximum relative error of only 1.7%. The study examines the influence of key factors on effective thermal conductivity, including temperature, porosity, fiber distribution, and fractal dimension. The effective thermal conductivity increased by approximately 6.1% for each 10 °C increase in temperature between 10 °C and 50 °C. Moreover, the effective thermal conductivity showed an average decrease of 16.3% with each 10% increment in porosity. The increase in thermal conductivity becomes more significant with increasing temperature and decreasing porosity. Conversely, an increased fractal dimension correlates with a decline in effective thermal conductivity. The effective thermal conductivity is influenced synergistically by the directional growth probability of the solid phase and the direction of heat flow. The findings offer valuable insights into thermal conductivity behavior and heat transfer mechanisms in plant fiber porous media. |
| first_indexed | 2024-03-11T15:24:35Z |
| format | Article |
| id | doaj.art-c8142970b408472d9c4ffe40103e70af |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-03-11T15:24:35Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-c8142970b408472d9c4ffe40103e70af2023-10-28T05:06:22ZengElsevierMaterials & Design0264-12752023-10-01234112303Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation SetRui Li0Zihao Wang1Hao Dong2Mingshan Yang3Xiaozheng Sun4Quanli Zong5Zhi Xu6College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Heilongjiang Province Technology Innovation Center of Mechanization and Materialization of Major Crops Production, Harbin, Heilongjiang 150030, ChinaCollege of Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, ChinaSchool of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, Liaoning 116025, ChinaApplied Mechanics and Structure Safety Key Laboratory of Sichuan Province, School of Mechanics and Engineering, Southwest Jiaotong University, Chengdu, Sichuan 610031, ChinaCollege of Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, ChinaSchool of Resource and Environment, Qingdao Agricultural University, Qingdao 266109, China; Corresponding authors.College of Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China; Corresponding authors.This study proposes a novel approach that combines a Quartet Structure Generation Set (QSGS) algorithm with the Lattice Boltzmann Method (LBM) to investigate effective thermal conductivity in plant fiber materials. The QSGS algorithm is utilized to construct a two-dimensional digital structure of the porous media, enabling the determination of effective thermal conductivity through LBM simulations. The simulation results demonstrate good agreement with experimental data, exhibiting a maximum relative error of only 1.7%. The study examines the influence of key factors on effective thermal conductivity, including temperature, porosity, fiber distribution, and fractal dimension. The effective thermal conductivity increased by approximately 6.1% for each 10 °C increase in temperature between 10 °C and 50 °C. Moreover, the effective thermal conductivity showed an average decrease of 16.3% with each 10% increment in porosity. The increase in thermal conductivity becomes more significant with increasing temperature and decreasing porosity. Conversely, an increased fractal dimension correlates with a decline in effective thermal conductivity. The effective thermal conductivity is influenced synergistically by the directional growth probability of the solid phase and the direction of heat flow. The findings offer valuable insights into thermal conductivity behavior and heat transfer mechanisms in plant fiber porous media.http://www.sciencedirect.com/science/article/pii/S0264127523007189Plant fiberPorous mediaEffective thermal conductivityLattice Boltzmann methodQuartet Structure Generation Set |
| spellingShingle | Rui Li Zihao Wang Hao Dong Mingshan Yang Xiaozheng Sun Quanli Zong Zhi Xu Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set Materials & Design Plant fiber Porous media Effective thermal conductivity Lattice Boltzmann method Quartet Structure Generation Set |
| title | Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set |
| title_full | Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set |
| title_fullStr | Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set |
| title_full_unstemmed | Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set |
| title_short | Lattice Boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by Quartet Structure Generation Set |
| title_sort | lattice boltzmann modeling of the effective thermal conductivity in plant fiber porous media generated by quartet structure generation set |
| topic | Plant fiber Porous media Effective thermal conductivity Lattice Boltzmann method Quartet Structure Generation Set |
| url | http://www.sciencedirect.com/science/article/pii/S0264127523007189 |
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