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冷滚打花键表层性能熵权-灰色理论优化研究
英文标题:Study on surface performance optimization of cold roll-beating spline based on entropy-gray theory
作者:崔凤奎 苏涌翔 徐少可 姚国林 
单位:河南科技大学 机械装备先进制造河南省协同创新中心 
关键词:冷滚打 表层性能 灰色理论 熵权理论 花键 
分类号:TH161
出版年,卷(期):页码:2018,43(3):59-66
摘要:
为提高花键冷滚打成形表面性能,研究冷滚打加工参数对表层性能的影响程度,筛选影响冷滚打花键表层性能最优的冷滚打工艺参数,以渐开线花键为研究对象,以冷滚打转速和进给速度为主要工艺参数,将熵权理论与灰色理论相互结合,对花键齿面分度圆处的表面粗糙度、残余应力和硬化程度进行关联分析研究。结果表明:花键表面粗糙度和硬化程度随进给速度的增加而增大,随冷滚打转速的增加而减小;花键残余应力随进给速度的增加而减小,随冷滚打转速的增加而增大;进给速度对冷滚打花键表层性能影响较大;冷滚打花键表层性能最优的冷滚打工艺参数为冷滚打转速1428 r·min-1和进给速度42 mm·min-1。
In order to improve the surface performance of spline formed by cold roll-beating, the influence of cold roll-beating processing parameters on the surface performance was studied, and the optimized processing parameters of cold roll-beating process affecting spline surface performance were selected. For the involute spline, the cold roll-beating rotary and feed speed were regarded as the main process parameters, and the relationship between surface roughness, residual stress and hardening degree at the pitch circle of the involute spline tooth surface was analyzed by combining entropy weight theory with gray theory. The results show that the surface roughness and hardening degree of spline increase with the increase of feed speed, but decrease with the increase of cold roll-beating speed. The residual stress of spline decreases with the increase of feed speed, and increases with the increase of cold roll-beating speed. Thus, the feed speed has a great influence on the surface performance of cold roll-beating spline, and the optimized cold roll-beating process parameters of splines surface performance are cold roll-beating speed of 1428 r·min-1 and feed speed of 42 mm·min-1.
基金项目:
国家自然科学基金资助项目(51475146,51475366)
作者简介:
崔凤奎(1957-),男,博士,教授,博士生导师 E-mail:cuifk2008@163.com
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