Multi-objective optimization of three-stage running-in process for main bearing of marine diesel engine
Multi-objective optimization of three-stage running-in process for main bearing of marine diesel engine
复制标题
船用柴油机主轴承三阶段磨合过程多目标优化
DOI：
10.1115/1.4062298
复制
发表时间：
2023
期刊：
影响因子：
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通讯作者：
A. Voitov
中科院分区：
文献类型：
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作者：
V. Vojtov;A. Voitov
通过优化磨合参数（负荷、速度和磨合时间），可以提高磨合质量。分析了摩擦信号和磨损表面分形维数与磨合质量的关系。结果表明，分形维数越大，磨合质量越好。采用一种带有精英策略的非支配排序遗传算法对主轴承磨合参数进行多目标优化设计。优化目标为摩擦系数分形维数大、磨损表面分形维数大、磨合时间短。结果表明，磨合参数的选择原则在不同的阶段和优先级是不同的。文中列出的最佳磨合参数，对主轴承三级磨合的优化设计提供了具体的参考。
Running-in quality can be improved by optimizing the running-in parameters (load, speed and running-in time). The relationship between running-in quality and the fractal dimensions of friction signal and wear surface is analyzed. It shows that the larger the fractal dimension, the better the running-in quality. A multi-objective optimization design of the running-in parameters of the main bearing is carried out, using a non-dominated sorting genetic algorithm with elite strategy. The optimization targets are the large fractal dimension of friction coefficient, the large fractal dimension of wear surface, and small running-in time. It shows that the selection principles of running-in parameters are different for different stages and priorities. The optimal running-in parameters listed in this paper provides a specific reference to the optimal design of the three-stage running in of main bearing.