摘要
在微细车削硬铝合金正交试验中,分析了切削参数(包括切削速度、进给量、切削深度)对表面粗糙度和表面显微硬度的影响规律,建立了表面粗糙度预测模型,并进行了回归方程和回归系数的显著性检验。结果表明:进给量对微细车削表面粗糙度的影响最大,切削速度次之,切削深度影响最小,较大的切削速度不仅使机床振动加剧从而使表面粗糙度值增加,而且切削中热量不易散发,表面产生加工硬化。考虑机床动态特性选择合适的切削速度避开机床振动,以及采用较小的进给量、合理的切削深度可获得最好的微细车削表面质量。
The influence of parameters used in micro-turning process on surface quality of aluminum alloy was analyzed based on orthogonal experiment and multiple regression analysis. The cutting parameters included cutting speed, feed rate and depth of cut. A predictive model for surface roughness in micro-turning was established and the significances of the regression equation and regression factor coefficients were proved. The results show that the feed rate had a significant effect on surface roughness and followed by cutting speed, depth of cut the least, and the vibration of machine was not only increased with the cutting speed, as well as increased the surface roughness, The distribution of cutting heat was difficult and the surface of work pieces was hardening. Considering the dynamic characteristics of machine, the appropriate cutting speed must be chose to avoid the vibration, and the use of smaller feed rate, the reasonable depth of cut can get the best surface quality in micro-turning.
出处
《机床与液压》
北大核心
2011年第17期15-17,共3页
Machine Tool & Hydraulics
基金
国家自然科学基金项目(50875026)
北京工商大学青年教师科研启动基金资助项目
北京市属高等学校人才强教计划资助项目(PHR201106110)
