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改进灰狼优化算法的减速器齿轮修形方法

Gear Reshaping Method for Reducer Based on Improved GWO Algorithm
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摘要 当前减速器齿轮的修形方法耗时费力且效果不甚理想,无法很好地保证减速器运行的稳定性和安全性。通过分析齿轮的修形原理,提出了一种基于改进灰狼优化算法(GWO)的减速器齿轮修形方法。以减速器的太阳轮和行星轮为研究对象,利用改进的GWO算法求取齿轮的最优修形量,并结合Romax Designer软件构建了齿轮的啮合模型进行仿真实验。结果表明:相较于修形前,修形后齿噪声值为68.35 dB,降低了13.47 dB;振动值为0.63 mm/s,降低了0.26 mm/s;齿轮的啮合性能得以提升,保证了减速器运行的稳定性。 The current gear modification method of decelerator is time-consuming and ineffective,which can not guarantee the stability and safety of the decelerator.By analyzing the gear modification principle,a gear modification method for reducer based on improved grey wolf optimization(GWO)algorithm is presented.Taking the sun wheel and planet wheel of the decelerator as the research object,the optimal modification quantity of the gear is obtained by using the improved GWO algorithm,and the meshing model of the gear is built with the Romax Designer software.The results show that the noise value of the modified teeth is 68.35 dB,which is 13.47 dB lower than that of the pre-modified teeth.The vibration value is 0.63 mm/s,which reduces 0.26 mm/s.The meshing performance of the gear is improved and the stability of the decelerator is guaranteed.
作者 张波 连婷 沈娴 ZHANG Bo;LIAN Ting;SHEN Xian(Hebei Polytechnic Institute,Shijiazhuang 050091,China)
出处 《煤炭技术》 CAS 北大核心 2023年第11期217-220,共4页 Coal Technology
基金 河北省高等学校科学研究青年基金项目(QN2023140)。
关键词 改进GWO 减速器 齿轮修形 improve GWO retarder gear modification
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