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Title:Study on surface performance optimization of cold roll-beating spline based on entropy-gray theory
Authors: Cui Fengkui  Su Yongxiang  Xu Shaoke Yao Guolin 
Unit: Henan University of Science and Technology Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province 
KeyWords: cold roll-beating  surface performance  gray theory  entropy theory spline 
ClassificationCode:TH161
year,vol(issue):pagenumber:2018,43(3):59-66
Abstract:
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.
Funds:
国家自然科学基金资助项目(51475146,51475366)
AuthorIntro:
崔凤奎(1957-),男,博士,教授,博士生导师 E-mail:cuifk2008@163.com
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