Evaluation of scale effect on hydrodynamic force of V-shaped otter board based on CFD

LIU Jingbin; TANG Hao; XU Liuxiong; SUN Qiuyang; LIU Wei; YIN Liqiang; ZHANG Feng

doi:10.12131/20210355

The main way to study the hydrodynamic characteristics of the otter board is to build a physical model to measure its hydrodynamic characteristics based on the similarity law. In this study, we analyzed the lift, drag coefficient and flow field distribution of V-type otter board with three scale ratios (1∶2, 1∶3 and 1∶4) and three thickness (2, 5 and 10 mm), then we compared them with the corresponding model test results to explore the influence of different physical model scales on hydrodynamic estimation of the otter boards. The results show that: 1) With the increase of the angle of attack, the drag coefficient of otter board with all scales gradually increased, while the lift coefficient first increased and then decreased, and the lift-drag ratio decreased gradually. 2) When the angle of attack reached 30°, the apparent separation vortex appeared at the back of the otter board, resulting in the decrease of simulated lift force. 3) With the increase of the otter board model scale, the separation effect of the boundary layer on the otter board surface and the separation vortex of the flow field in the wake area increased gradually, and the lift, drag and lift-drag ratio of the otter board also showed an increasing tendency. The thickness of the mesh plate had little effect on the flow field, lift and resistance, and the average error of the maximum lift coefficient relative to the model test was 4.97%. As the model scale increased, the prediction error of hydrodynamic force decreased gradually.

[1]	刘宏伟. 蝠翼式拖网网板的水动力特性研究 [D]. 大连: 大连理工大学, 2018: 1-9.
[2]	MELLIBOVSKY F, PRAT J, NOTTI E, et al. Testing otter board hydrodynamic performances in wind tunnel facilities[J]. Ocean Engin, 2015, 104: 52-62. doi: 10.1016/j.oceaneng.2015.04.064
[3]	MELLIBOVSKY F, PRAT J, NOTTI E, et al. Otter board hydrodynamic performance testing in flume tank and wind tunnel facilities-Science Direct[J]. Ocean Engin, 2018, 149: 238-244. doi: 10.1016/j.oceaneng.2017.12.034
[4]	刘健, 黄洪亮, 吴越, 等 2种立式曲面缝翼式网板水动力学性能的试验研究 [J]. 南方水产科学, 2015, 11(1): 68-74.
[5]	SU X, LU H S, FENG B, et al. Hydrodynamic characteristics of the double-winged otter board in the deep waters of the Mauritanian Sea[J]. Chin J Oceanol Limnol, 2018: 1417-1424.
[6]	YOU X X, HU F X, KUMAZAWA T, et al. Performance of new hyper-lift trawl door for both mid-water and bottom trawling [J]. Ocean Engin, 2020, 199:106989.
[7]	SALA A, FARRAN J, ANTONIJUAN J, et al. Performance and impact on the seabed of an existing- and an experimental-otter board: comparison between model testing and full-scale sea trials[J]. Fish Res, 2009, 100: 156-166. doi: 10.1016/j.fishres.2009.07.004
[8]	YOU X X, HU F X, Z X, et al. Effect of wingtip flow on hydrodynamic characteristics of cambered otter board [J]. Ocean Engin, 2021, 222:108611.
[9]	BALASH C, BLAKE W, STERLING D. Seeking maximum effectiveness and efficiency for large multi-sail penaeid otter boards [J/OL]. Ocean Engin, 2020, 200:107093.
[10]	宋科委, 郭春雨, 孙聪, 等. 实尺度船舶阻力计算及尺度效应研究[J]. 华中科技大学学报(自然科学版), 2021, 49(6): 74-80.
[11]	朴倉斗, 松田皎, 胡夫祥. 反り比の異なる湾曲板の流体特性に及ぼす底面の影響[J]. 日本水產學會誌, 1993, 59(4): 627-632.
[12]	XU Q C, HUANG L Y, LI X, et al. Parameter optimization of a rectangular cambered otter board using response surface method [J/OL]. Ocean Engin, 2021, 220: 108475.
[13]	CHU W H, CHEN G, YE X C, et al. Hydrodynamic performance and structural response characteristics of the double-slotted vertical cambered V-Type otter board[J]. Aquac Fish, 2020(5): 201-209.
[14]	XU Q C, HUANG L Y, ZHAO F F, et al. Study on the hydrodynamic characteristics of the rectangular V-type otter board using computational fluid dynamics[J]. Fish Sci, 2017, 83(2): 1-10.
[15]	刘宏伟, 赵云鹏, 毕春伟. 不同展弦比的矩形曲面网板水动力性能的数值模拟[C]//第十四届全国水动力学学术会议暨第二十八届全国水动力学研讨会文集(上册). 北京: 海洋出版社, 2017: 739-745.
[16]	TAKAHASHI Y, FUJIMORI Y, HU F, et al. Design of trawl otter boards using computational fluid dynamics[J]. Fish Res, 2015, 161: 400-407. doi: 10.1016/j.fishres.2014.08.011
[17]	YOU X X, HU F X, DONG S C, et al. Shape optimization approach for cambered otter board using neural network and multi-objective genetic algorithm.[J]. Appl Ocean Res, 2020, 100(C): 102148.
[18]	MATTHEW J, MCHUGH M K, BROADHURST D J, et al. Relative benthic disturbances of conventional and novel otter boards and ground gears[J]. Fish Sci, 2020, 86(6): 245-254.
[19]	刘志强, 许柳雄, 唐浩, 等. 立式双曲面网板水动力性能及流场可视化研究[J]. 水产学报, 2020, 44(8): 1360-1370.
[20]	李崇聪. V型网板水动力性能和数值模拟初步研究 [D]. 青岛: 中国海洋大学, 2012: 17-28.
[21]	SHIH T H, LIOU W W, SHABBIR A, et al. A new K-ε eddy viscosity model for high reynolds number turbulent flows[J]. Comput Fluids, 1995, 24(3): 227-238. doi: 10.1016/0045-7930(94)00032-T
[22]	刘志强. 中层网板水动力性能及流场可视化研究—以立式双曲面网板为例 [D]. 上海: 上海海洋大学, 2020: 34-51.
[23]	刘志强, 许柳雄, 唐浩, 等. 不同工作姿态下立式双曲面网板水动力及周围流场特性研究[J]. 南方水产科学, 2020, 16(2): 87-98. doi: 10.12131/20190221
[24]	朴倉斗, 松田皎, 東海正. タフト法による平板の周りの流れの可視化[J]. 日本水產學會誌, 1994, 60(2): 193-199.
[25]	朴倉斗, 松田皎, 胡夫祥. 縦横比の異なる平板の揚抗力特性に及ぼす底面の影響[J]. 日本水產學會誌, 1993, 59(1): 79-84.
[26]	SHEN X L, HU F X, KUMAZAWA T, et al. Hydrodynamic characteristics of a hyper-lift otter board with wing-end plates[J]. Fish Sci, 2015, 81(3): 1-10.
[27]	左玲玉, 司海清, 李耀, 等. 基于Richardson外推法的CFD离散误差分析 [J]. 指挥控制与仿真, 2022, 44(1): 58-62.
[28]	ROY C J, OBERKAMPF W L. Verification and validation in computational fluid dynamics[J]. Progr Aerospace Sci, 2002, 38(3): 209-272. doi: 10.1016/S0376-0421(02)00005-2
[29]	STERN F, WILSON R. Comprehensive approach to verification and validation of CFD simulations−Part 1: methodology and procedures[J]. ASME J Fluids Eng, 2002, 124(3): 810. doi: 10.1115/1.1492827
[30]	WILSON R V, STERB F, COLENAN H W, et al. Comprehensive approach to verification and validation of CFD simulations−Part 2: application for rans simulation of a cargo/container ship[J]. ASME J Fluids Eng, 2001, 123(4): 803-810. doi: 10.1115/1.1412236
[31]	康顺, 石磊, 戴丽萍, 等. CFD模拟的误差分析及网格收敛性研究[J]. 工程热物理学报, 2010, 31(12): 2009-2013.

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Evaluation of scale effect on hydrodynamic force of V-shaped otter board based on CFD

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Evaluation of scale effect on hydrodynamic force of V-shaped otter board based on CFD

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