Multi-objective optimization design of shaftless rim-driven thruster

被引:2
作者
Tao, Bian [1 ,2 ,3 ]
Liangliang, Liu [1 ]
Wenhao, Cai [1 ]
Wen, Jiang [1 ]
Zhiwen, Liu [1 ]
机构
[1] Jianghan Univ, Sch Intelligent Mfg, Wuhan, Hubei, Peoples R China
[2] Guangdong HUST Ind Technol Res Inst, Dongguan, Peoples R China
[3] Jianghan Univ, Sch Intelligent Mfg, Shanjiaohu St 8, Wuhan 430056, Hubei, Peoples R China
关键词
Shaftless rim-driven thruster; multi-objective optimization design; ISIGHT platform;
D O I
10.1177/14750902231188393
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper proposes a multi-objective optimization design method for shaftless rim-driven thruster (RDT) based on the ISIGHT platform. The pitch ratio, the blade area ratio and the advance coefficient of RDT were considered as the design optimization variables, the thrust and efficiency of the RDT were the optimization objectives. The multi-objective optimization design method was based on the surrogate module and the optimization module in the ISIGHT platform. Two analytical methods (response surface methodology (RSM) and radial basis function Model (RBF)) were used to build the surrogate model. The Muti-Island GA optimization algorithm was adopted in the optimization module. The paper indicates that both RSM model and RBF model are feasible to build the surrogate model, the RBF model has better accuracy and reliability than RSM model. The blade obtained by RBF method has larger thrust and smaller torque than that of the blade obtained by RSM method. For the large advance coefficient (J > 0.6), the efficiency of the blade obtained by RBF method is slightly higher than that of the blade obtained by RSM method.
引用
收藏
页码:633 / 639
页数:7
相关论文
共 50 条
[31]   Multi-objective optimization design of dual-cone double enveloping hourglass worm gear pair [J].
Qiu, Qingying ;
Shu, Qinye ;
Feng, Peien ;
Zhu, Xiaohu ;
Cao, Lei .
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2012, 33 (07) :869-874
[32]   Multi-objective topology optimization design of truss structures based on evidence theory under limited information [J].
Su Y. ;
Tang H. .
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2023, 41 (04) :722-731
[33]   Multi-objective optimization design of the solid oxide fuel cells using response surface methodology and genetic algorithm [J].
Cui, Yi ;
Wang, Zhen ;
Yang, Laishun ;
Li, Jie ;
Chang, Guozhang ;
Song, Lei ;
Yue, Guangxi .
APPLIED THERMAL ENGINEERING, 2024, 242
[34]   Multi-objective optimization design of a battery pack system for crashworthiness and lightweight based on a submodel and hybrid weighting method [J].
Lian, Fengmin ;
Wang, Dengfeng ;
Xu, Wenchao ;
Zhang, Xiaopeng ;
Kong, Dewen ;
Huang, Lina .
ENGINEERING OPTIMIZATION, 2024,
[35]   Multi-objective optimization design of labyrinth seal of shrouded stator cavity in a low-speed research compressor [J].
Zheng B. ;
Shao R. ;
Yan Z. ;
Fan L. ;
Teng J. ;
Zhu M. ;
Qiang X. .
Aerospace Systems, 2024, 7 (03) :635-645
[36]   Multi-Objective Optimization Design of Vehicle Side Crashworthiness Based on Machine Learning Point-Adding Method [J].
Gao, Dawei ;
Yao, Bufan ;
Chang, Gaoshuang ;
Li, Qiang .
APPLIED SCIENCES-BASEL, 2022, 12 (20)
[37]   Multi-objective optimization design of inset-surface permanent magnet machine considering deterministic and robust performances [J].
Xu G. ;
Jia Z. ;
Zhao W. ;
Chen Q. ;
Liu G. .
Jia, Zexin (zwx@ujs.edu.cn), 1600, Institute of Electrical and Electronics Engineers Inc. (07) :73-87
[38]   Multi-Objective Optimization Design and Multi-Physics Analysis a Double-Stator Permanent-Magnet Doubly Salient Machine [J].
Chen, Yunyun ;
Ding, Yu ;
Zhuang, Jiahong ;
Zhu, Xiaoyong .
ENERGIES, 2018, 11 (08)
[39]   Multi-objective optimization design method for the machine tool's structural parts based on computer-aided engineering [J].
Liu, Shihao .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 78 (5-8) :1053-1065
[40]   Research on Multi-Objective Optimization Design of University Student Center in China Based on Low Energy Consumption and Thermal Comfort [J].
Liu, Ming ;
Que, Yufei ;
Yang, Nanxin ;
Yan, Chongyi ;
Liu, Qibo .
ENERGIES, 2024, 17 (09)