Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm

doi:10.16183/j.cnki.jsjtu.2023.318

Abstract

Abstract:

In order to reduce the power loss of the transmission equipment, enhance the transmission efficiency of the propulsion shafting, and improve the vibration performance of the shafting, a multi-objective optimization design of a ship shafting experimental platform is performed based on the response surface model and genetic algorithm. The central composite design (CCD) method is used to select appropriate experimental points in the optimized design space, and the response surface model is developed with minimum total power consumption and vibration response amplitude. Based on the genetic algorithm, the Pareto optimal solution of response surface model regression function is solved through MATLAB software. The optimal design scheme is obtained by comparing and analyzing several groups of optimization results. The results show that the combined method can reduce the power loss of shafting by approximate 7.10% and reduce the vibration amplitude of shafting by 2.30%, while significantly improving the shafting transmission efficiency and effectively suppressing the vibration problem of propulsion shafting. The fiudings validate the feasibility of the multi-objective optimization method for the ship propulsion shafting.

Key words: propulsion shafting, transfer efficiency, response surface methodology, genetic algorithm

CLC Number:

U664.21

ZHANG Cong, SHU Bingnan, ZHANG Jiangtao, JIN Yong. Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm[J]. Journal of Shanghai Jiao Tong University, 2025, 59(4): 466-475.

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轴段	内径/mm	长度/mm	润滑介质
艉轴	185	740	水
1#中间轴	165	730	油
2#中间轴	145	1 275	油
推力轴	125	1 200	油

轴承	内径/mm	长度/mm	润滑介质
后艉轴承	186	555	水
前尾轴承	150	156	油
中间轴承	160.5	130	油
推力径向轴承	160	101	油

轴承编号	坐标位置/mm
1	1 360
2	4 048.75
3	6 180
4	8 380
5	9 725
6	10 060

因素	水平
因素	-1	0	1
x₁/mm	144	160	176
x₂	0.45	0.70	0.95
x₃/mm	-269	0	269

序号	x₁/mm	x₂	x₃/mm	y₁/W	y₂/μm
1	133	0.7	0	2 068.2	1.838 8
2	144	1.0	-269	2 166.5	1.903 7
3	144	1.0	269	2 165.1	1.810 0
4	176	0.5	-269	2 225.2	1.914 4
5	187	0.7	0	2 438.8	1.840 5
6	160	0.7	0	2 207.3	1.856 1
7	160	1.1	0	2 343.9	1.855 5
8	160	0.3	0	2 088.8	1.856 7
9	144	0.5	269	2 067.5	1.811 7
10	176	1.0	-269	2 450.3	1.913 1
11	144	0.5	-269	2 071.1	1.904 6
12	176	1.0	269	2 449.8	1.808 3
13	160	0.7	452	2 205.4	1.788 6
14	160	0.7	-452	2 209.8	1.944 7
15	176	0.5	269	2 221.6	1.809 4
16	160	0.7	0	2 209.1	1.846 1