摘要
针对蜗杆砂轮磨削齿轮经常出现振纹的问题,采用某型新能源汽车用斜齿轮,通过正交设计实验的方法,探究了磨削工艺参数(砂轮线速度、砂轮轴向进给速度、砂轮径向进给量)对加工振动和齿面粗糙度的影响。采用多元二次回归的方法建立了以减小振动和齿面粗糙度为目标的多目标优化数学模型,采用遗传算法优化了磨削工艺参数。结果表明,优化后的工艺参数可在保持稳定的齿面粗糙度精度的同时大大削弱磨削中的振动,有效防止了振纹的产生,延长了机床的使用寿命。
Aiming at the problems of chatter marks frequently occurring in gear grinding with worm-shaped grinding wheel,the effects of grinding process parameters(linear speed of grinding wheel,axial feed speed of abrasive wheel,radial feed of grinding wheel)on machining vibrations and tooth surface roughness were investigated by orthogonal design experiments of helical gears used in a certain type of new energy vehicles.A multi-objective optimization mathematical model was established with multiple quadratic regression method to reduce vibrations and tooth surface roughness,and genetic algorithm was used to optimize grinding parameters.The results show that the optimized processing parameters may greatly reduce the vibrations in grinding while maintaining the stable roughness value of tooth surfaces,effectively prevent the generation of chatter marks and prolong the working life of the machine tools.
作者
李国龙
朱国华
蒋林
陶一杰
贾亚超
LI Guolong;ZHU Guohua;JIANG Lin;TAO Yijie;JIA Yachao(College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing,400044;Chongqing Machine Tool Group National Enterprise Technology Center,Chongqing,401336)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2023年第9期1086-1092,共7页
China Mechanical Engineering
基金
国家重点研发计划(2019YFB1703700)。
关键词
振纹
蜗杆砂轮磨
齿面粗糙度
工艺参数优化
新能源车用齿轮
chatter mark
worm-shoped grinding wheel
tooth surface roughness
processing parameter optimization
gear for new energy vehicles