摘要
在圆柱斜齿轮进行珩削修形加工时,通常采用专用的金刚石修整轮对珩磨轮的齿廓和齿向进行修整,因此,齿轮修形参数不同,所使用的金刚轮也不同。为了增加金刚石修整轮的通用性,降低修形齿轮加工成本,缩短齿轮研发周期,文章在已有研究的基础上提出了一种基于调整内齿珩轮强力珩齿机床各轴运动参数的方法来实现齿轮修形加工。根据各轴的运动关系,建立内齿珩轮强力珩齿机床加工齿轮的齿面数学模型;将机床的A、B、X轴的运动表示为具有ΦC1、LZ2个变量的高阶多项式函数,分析多项式系数对齿面法向偏差的影响;建立齿面法向偏差的目标函数,利用粒子群优化算法(particle swarm optimization,PSO)进行优化,得到机床的运动参数。仿真结果证明了该拓扑修形方法的有效性。
The tooth profile and direction of the honing wheel are usually dressed by the special diamond dressing gear before cylindrical helical gears are honed and modified. Therefore, different diamond dressing gears are used depending on gear profile parameters. In order to increase the versatility of the diamond dressing gears, reduce the processing cost of the modified gear and shorten the gear development cycle, this paper proposes a method based on adjusting the motion parameters of the internal gearing power honing gear machine to modify the work gear based on the previous studies. Firstly, the gear mathematical model of the internal gearing power honing gear machine is established according to the relationships of each motion axis. The motions of A, B and X axes of the machine tool are formulated as a high-order polynomial function with two variables(ΦC1 and LZ), and the influence of polynomial coefficients on the normal deviation of the tooth surface is analyzed. Then the objective function of normal deviation of the tooth surface is established, and the motion parameters of the machine tool are obtained by using the particle swarm optimization(PSO) algorithm. Finally, the validity of this topology modification method is demonstrated by simulation.
作者
夏链
沈荣康
朱永刚
韩江
XIA Lian;SHEN Rongkang;ZHU Yonggang;HAN Jiang(School of Mechanical Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《合肥工业大学学报(自然科学版)》
CAS
北大核心
2019年第12期1585-1591,共7页
Journal of Hefei University of Technology:Natural Science
基金
国家科技重大专项资助项目(2013ZX04002051)
国家自然科学基金资助项目(51575154)
关键词
内齿珩轮强力珩齿
拓扑修形
高阶多项式
敏感矩阵
粒子群优化算法(PSO)
internal gearing power honing
topology modification
higher-order polynomial
sensitivity matrix
particle swarm optimization(PSO)