摘要
针对减速器传动过程中齿轮影响减速器传动效率的问题,对影响减速器齿轮传动效率的因素进行了研究,提出了一种齿轮宏观参数优化和微观参数优化相结合的方法,用于提高减速器传动效率。首先对齿轮宏观参数运用遗传算法进行了优化,再用KRIGING算法拟合了轮齿修形参数与齿轮啮合功率损失之间的关系;利用均方误差(MSE)准则提高了KRIGING预测模型的精度;在保证模型精度要求的情况下,运用期望改善(EI)准则寻找到了最优解;最后将最优参数输入ROMAX软件,对比了最优解和仿真结果。研究结果表明:最优解相较于仿真结果误差仅为0.179%,优化后,减速器传动效率提升了0.5%。
Aiming at the problem that the gear affected the transmission efficiency of the reducer during the transmission process of the reduc-er,the factors affecting the gear transmission efficiency of the reducer were studied.A combination of the macro parameters of the gear and the optimization of the micro parameters was proposed to improve the transmission efficiency of the reducer.Firstly,the genetic algorithm was optimized for the macro parameters of the gears.Then the KRIGING algorithm was used to fit the relationship between the tooth shape modifi-cation parameters and the gear meshing power loss.The mean square error(MSE)criterion was used to improve the accuracy of the KRIG-ING prediction model.In the case of model accuracy requirements,the expected improvement(EI)criterion was used to find the optimal so-lution.Finally,the optimal parameters were input into the ROMAX software,and the optimal solution and simulation results were compared.The results indicate that the error of the optimal solution is only 0.179%compared with the simulation result,the gearbox transmission effi-ciency is increased by 0.5%.
作者
孙震震
李玉光
王淑芬
杨铎
李富强
SUN Zhen-zhen;LI Yu-guang;WANG Shu-fen;YANG Duo;LI Fu-qiang(College of Mechanical Engineering,Dalian University,Dalian 116622,China)
出处
《机电工程》
CAS
北大核心
2020年第1期26-31,共6页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金资助项目(51405053)
航空动力装备振动及控制教育部重点实验室开放课题基金资助项目(VCAME201805)
关键词
遗传算法
轮齿修形
KRIGING算法
均方误差准则
期望改善准则
genetic algorithm
gear shaping
KRIGING algorithm
mean square error(MSE)criterion
expected improvement(EI)criteri-on