摘要
为了优化高体积分数SiCp/Al复合材料车削时的切削参数,设计了基于切削速度、进给量、切削深度和刀尖圆弧半径4个参数的16组正交实验。以50%SiCp/Al复合材料为研究对象,进行正交切削实验,通过表面粗糙度仪获得零件表面粗糙度值,通过田口方法分析了4个切削参数对表面粗糙度影响的敏感性。分别建立了表面粗糙度预测的多元回归方程和指数方程,对比分析了不同预测模型在相同切削参数下的表面粗糙度预测结果,并确定了最佳切削参数。切削实验结果表明:无论是表面粗糙度预测,还是最佳切削参数确定,多元回归方程都取得较为准确的结果。
To optimize the cut parameters on turning of SiCp/Al composites with high volume fraction,16 orthogonal experiments based on cutting speed,feed rate,cutting depth and nose radius are designed. The orthogonal experiments are conducted on 50 % SiCp/Al composites. Surface roughness value is achieved using surface roughness meter. The sensitivity of the four cutting parameters on surface roughness is analyzed by Taguchi approach. Accordingly,three prediction models of surface roughness based on multivariate regression equation,exponential equations are built respectively. The predicted results on surface roughness of the different prediction model on the same cutting parameters are compared and analyzed,and the optimal cutting parameters are determined. The cut experiments are conducted again,and the results show that the precise performance is achieved on predicting the surface roughness and determining the optimal cutting parameters by using the multivariate regression equation.
作者
赵明启
Zhao Mingqi(College of Mechanical Engineering, Weifang University of Science and Technology, Weifang 262700, Shandong, Chin)
出处
《现代制造工程》
CSCD
北大核心
2018年第5期108-111,共4页
Modern Manufacturing Engineering
