| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-10-20 |
| タイトル |
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タイトル |
Design of a biplane hyper-efficiency trawl door (HETD) through structure optimization |
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言語 |
en |
| 言語 |
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言語 |
eng |
| キーワード |
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主題 |
Biplane hyper-efficiency trawl door, Lift-to-drag ratio, Hydrodynamic characteristics, Structure optimization approach |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Zhuang, Xin
You, Xinxing
Hu, Fuxiang
Dong, Shuchuang
Shiode, Daisuke
Tokai, Tadashi
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| 書誌情報 |
en : Aquaculture and Fisheries
巻 in Press,
発行日 2025-01-24
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| 抄録 |
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内容記述 |
Based on the developed biplane hyper-lift trawl door (HLTD), a structure optimization approach integrating a radial basis function neural network, a multi-objective genetic algorithm, and computational fluid dynamics (CFD) analysis was employed to design a biplane hyper-efficiency trawl door (HETD), with the objective of achieving reduced fuel consumption for the same swept sea area. The mechanism by which the biplane HETD outperformed the biplane HLTD in hydrodynamic performance at an attack angle of 20° was clarified through variance analysis and CFD visualization. Hydrodynamic experiments confirmed that the maximum lift coefficient of the biplane HETD was 2.11, which was slightly smaller than that of the biplane HLTD (2.18), while the corresponding drag coefficient decreased by 27.6%, resulting in a significant increase of 30.0% in the lift-to-drag ratio. The stall angle of the biplane HETD was also reduced by 5° compared to the biplane HLTD. Subsequently, a pair of sleds was attached to the bottom of the biplane HETD to reduce contact with the seabed and thereby reduce friction without affecting its hyper-efficiency characteristics. |
| 内容記述 |
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内容記述 |
公開日: 2025-01-24 |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2468-550X |
| DOI |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1016/j.aaf.2025.01.002 |
| 情報源 |
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関連識別子 |
https://www.sciencedirect.com/science/article/pii/S2468550X25000024 |
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関連名称 |
Publisher's Version/PDF (Open Access) |
| 情報源 |
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関連識別子 |
https://www.elsevier.com/ja-jp |
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関連名称 |
Elsevier B.V. |
| 出版者 |
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出版者 |
Elsevier B.V. |
