摘要
提出一种基于多项式变异粒子群优化技术的齿轮根切量计算方法.将多项式变异算子与标准粒子群优化方法相结合,构造出PMOPSO算法.以渐开线齿轮齿廓参数方程为基础建立齿轮根切量的计算模型,并讨论了模型的解的情况与根切点位置的关系.计算动力刀塔中关键齿轮的根切量,并分析模数和变位系数对根切量的影响.计算结果表明,本文方法可以快速确定齿轮根切量,并根据设计要求灵活调整计算精度.利用本文方法可以精确分析关键齿轮的根切情况,有助于提升动力刀塔中齿轮副的传动性能.
A brief evaluating method for transmission gear undercutting is proposed.The method is based on the technology of polynomial mutation operator and particle swarm optimization (PMOPSO).The undercutting model is established based on the parametric equations for involute gear profiles and the relationship between model solutions and undercutting points is investigated.The as-proposed method is used for evaluating undercutting of key gears in a power turret.The effects of modules and modification coefficients on undercutting are studied.The results imply that the proposed method is able to calculate gear undercutting rapidly.Meanwhile, the accuracy is geared to design requirements flexibly.The situation of key gear undercutting can be analyzed accurately by the proposed way, which may contribute to improve the transmission performance of turrets.
出处
《东北大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2017年第8期1112-1117,共6页
Journal of Northeastern University(Natural Science)
基金
国家重点基础研究发展计划项目(2014CB046303)
"高档数控机床与基础制造装备"科技重大专项(2013ZX04011-011)
国家自然科学基金资助项目(51575094
51575095)
关键词
根切
多项式变异算子
粒子群优化
动力刀塔
齿轮变位
undercutting
polynomial mutation operator
particle swarm optimization
power tool turret
gear modification