运输类船舶货载量较大,需要提升船舶稳定性与航行效率,因此设计了基于仿生理论的船舶外部造型设计优化方法。以鲸鱼鳍作为仿生对象,利用CATIA三维建模软件构建仿生鲸鱼鳍的几何模型,以该模型为基础计算仿生鱼鳍的运动学特性,以此模拟出应用在船舶的运动特性,确定该特性后,使用扩散光顺方法和局部网格重构方法实现仿生鲸鱼鳍模型的网格划分,将该仿生鲸鱼鳍应用于船舶实现船舶外部造型设计优化。试验结果显示,经过优化后的船舶外部造型兴波阻力与综合阻力更小,航行速度更快,即使在高载货量下依旧具有较为理想的稳定性,船舶外部造型设计优化效果较好。
Transport ships have large cargo loads and need to improve ship stability and sailing efficiency. Therefore, this paper studies the optimization of ship external modeling design based on bionic theory. With whale fin as the bionic object, CATIA 3D modeling software was used to build a geometric model of the bionic whale fin. Based on the model, the kinematics characteristics of the bionic whale fin were calculated to simulate the motion characteristics applied in ships. After determining the characteristics, the meshing of the bionic whale fin model was realized by using diffusion fairing method and local mesh reconstruction method. The bionic whale fin is applied to the ship to achieve the optimization of the ship exterior design. The test results show that the optimized propagation external shape wave resistance and comprehensive resistance are smaller, the sailing speed is faster, and the ship external shape design has ideal stability even under high cargo load, and the optimization effect is better.
2023,45(21): 50-53 收稿日期:2023-5-7
DOI:10.3404/j.issn.1672-7649.2023.21.009
分类号:TP242
基金项目:国家自然科学基金资助项目(52275508)
作者简介:董超逸(1998-),男,硕士研究生,研究方向为工业设计、概念设计及仿生设计等
参考文献:
[1] 郭健, 潘彬彬, 崔维成, 等. 基于智能材料的深海执行器及海洋仿生机器人研究综述[J]. 船舶力学, 2022, 26(2): 301-313.GUO Jian, PAN Bin-bin, CUI Wei-cheng, et al. Review of deep-sea actuators and marine bionic robots based on intelligent materials[J]. Journal of Ship Mechanics, 2022, 26(2): 301-313.
[2] 魏骁, 李恒, 黄晨冉. 基于PCE法和最大熵法的船舶不确定性优化设计[J]. 中国舰船研究, 2023, 18(3): 13-25.WEI Xiao, LI Heng, HUANG Chenran. Application of uncertainty design optimization based on polynomial chaos expansions and maximum entropy method in ship design[J]. Chinese Journal of Ship Research, 2023, 18(3): 13-25.
[3] 刘磊, 孙卓文, 陈令仪, 等. 基于深度学习的仿生集群运动智能控制[J]. 控制与决策, 2021, 36(9): 2195-2202.LIU Lei, SUN Zhuo-wen, CHEN Ling-yi, et al. Intelligent control of bionic collective motion based on deep learning[J]. Control and Decision, 2021, 36(9): 2195-2202.
[4] 李怡昕, 胡桥, 刘钰, 等. 水下航行器仿生侧线探测阵列优化布置模型及评估方法[J]. 西安交通大学学报, 2021, 55(11): 34-45.LI Yixin, HU Qiao, LIU Yu, et al. Optimal placement model and evaluation scheme of artificial lateral line detection array for underwater vehicle[J]. Journal of Xi'an Jiaotong University, 2021, 55(11): 34-45.
[5] 许永生, 赵秦琨, 支锦亦, 等. 基于生物形态简化优化法的产品仿生设计研究[J]. 包装工程, 2021, 42(18): 188-193.XU Yong-sheng, ZHAO Qin-kun, ZHI Jin-yi, et al. Product bionic design based on simplified optimization method of biological form[J]. Packaging Engineering, 2021, 42(18): 188-193.
[6] 罗文俊, 王德禹. 基于兴趣子域动态代理模型的船舶结构可靠性优化[J]. 中国舰船研究, 2021, 16(4): 96-107.LUO Wenjun, WANG Deyu. Reliability-based optimization of ship structure based on interest subdomain dynamic surrogate model[J]. Chinese Journal of Ship Research, 2021, 16(4): 96-107.