摘要
在分析铣削过程能耗特性的基础上,针对难加工材料切削过程中能耗大、效率低、刀具受损严重等问题,提出一种考虑刀具主后刀面磨损的机床比能预测模型。应用田口法设计304不锈钢数控铣削正交试验,采用非线性回归拟合试验数据,分析切削参数和刀具磨损对机床比能的影响规律。结果表明:该机床比能预测模型的准确率在96%以上;在半精加工铣削参数范围内,机床比能随铣削深度、铣削宽度、进给速度和铣削速度的增大逐渐减小,随着刀具磨损值的增大呈线性增大。
On the basis of analyzing the energy consumption characteristics of the milling process,aiming at the problems of high energy consumption,low efficiency and severe tool wear in the cutting process of hard-to-cut materials,a machine tool specific energy consumption prediction model considered the wear of the main flank of the tool was proposed.Taguchi method was used to design 304 stainless steel numerical control milling orthogonal experiment,and nonlinear regression was used to fit the experimental data,and the influence of cutting parameters and tool wear on the specific energy consumption of machine tools was analyzed.The results show that the accuracy rate of the machine tool’s specific energy consumption prediction model is above 96%;within the range of semi-finishing milling parameters,the specific energy consumption of the machine tool gradually decreases with the increase of milling depth,milling width,feed rate and milling speed,and linearly increases with the increase of tool wear value.
作者
于硕
赵国勇
李春霄
徐双
郑志富
YU Shuo;ZHAO Guoyong;LI Chunxiao;XU Shuang;ZHENG Zhifu(School of Mechanical Engineering,Shandong University of Technology,Zibo Shandong 255000,China)
出处
《机床与液压》
北大核心
2021年第24期41-45,共5页
Machine Tool & Hydraulics
基金
山东省自然科学基金重点项目(ZR2020KE060)。
关键词
不锈钢数控铣削
机床比能
预测模型
切削参数
刀具磨损
Stainless steel CNC milling
Specific energy consumption of machine tool
Prediction model
Cutting parameters
Tool wear
