期刊文献+

NN型少齿差传动的多目标优化

Multi-objective Optimization of the NN Type Transmission with Small Tooth Difference
下载PDF
导出
摘要 围绕能源与重型机械对传动装置高效率与高输出力矩的需求,对NN型少齿差传动以最高效率与最大输出力矩进行了多目标优化研究。首先,对一定齿数范围内不同齿数差、不同错齿数下所有齿数组合进行遍历,得出配齿表;随后,建立NN型少齿差传动的多目标优化模型,以齿数组合、标准压力角、啮合角、齿顶高系数以及变位系数为优化设计变量,考虑重合度、齿廓重叠干涉、齿顶厚度等约束条件,使用基于Pareto的多目标差分进化算法对优化模型进行求解,得出Pareto最优解集的分布。将本文得出的结果与机械设计手册中的结果进行对比,结果显示,本文结果优于机械设计手册中的结果,可为NN型少齿差传动的设计提供参考。 Focusing on the demand of energy and heavy machinery for high efficiency and high output capacity of transmission equipment,this research studies the multi-objective optimization of the NN type small tooth difference transmission with the highest efficiency and maximum output capacity.Firstly,traverse all tooth number combinations in the optimization space under different tooth number difference,different staggered tooth difference in a certain range of teeth,and get the tooth combinations table.Then,the multi-objective optimization model of the NN type small tooth difference transmission is established,taking the number of teeth combination,standard pressure angle,meshing angle,addendum height coefficient and displacement coefficient as the optimization design variables and considering the overlap ratio,tooth profile overlap interference and addendum thickness constraints.The multi-objective differential evolution algorithm based on Pareto is used to solve the optimization model,and the distribution of Pareto optimal solution set is obtained.The results obtained in this study are compared with those in the standard design manual.The comparison results show that the results in this study are better than those in the standard design manual,which can provide reference for the design of NN type small tooth difference transmission.
作者 郑建瑞 邓兴 李哲 杨再明 吴腾 杜金泽 卓佳鑫 Zheng Jianrui;Deng Xing;Li Zhe;Yang Zaiming;Wu Teng;Du Jinze;Zhuo Jiaxin(Nuclear Power Institute of China,Chengdu 610213,China)
出处 《机械传动》 北大核心 2023年第6期49-56,共8页 Journal of Mechanical Transmission
关键词 少齿差 效率 多目标优化 进化算法 Small tooth difference transmission Efficiency Multi-objective optimization Evolution⁃ary algorithms
  • 相关文献

参考文献11

二级参考文献88

共引文献53

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部