TC4钛合金盘铣开槽铣削温度研究  

Milling Temperature of Grooving TC4 Titanium Alloy by Disc Milling

作　　者：李光平 辛红敏 姬相斌 杨程 Li Guangping;Xin Hongmin;Ji Xiangbin;Yang Cheng(Hubei Chaozhuo Aviation Technology Co.,Ltd.,Xiangyang,Hubei 441000,China;Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle,Hubei University of Arts and Science,Xiangyang,Hubei 441053,China;不详)

机构地区：[1]湖北超卓航空科技股份有限公司,湖北省襄阳市441000 [2]湖北文理学院纯电动汽车动力系统设计与测试湖北省重点实验室,湖北省襄阳市441053 [3]中国人民解放军第五七一三工厂 [4]航空发动机高性能制造工业和信息化部重点实验室(西北工业大学)

出　　处：《工具技术》2021年第6期30-38,共9页Tool Engineering

基　　金：国家科技重大专项课题(2013ZX04001081);中国博士后科学基金(2018M631195);湖北文理学院“机电汽车”湖北省优势特色学科群开放基金;纯电动汽车动力系统设计与测试湖北省重点实验室开放基金。

摘　　要：由于盘铣刀存在直径大、切削余量大和钛合金导热系数小等问题,钛合金盘铣开槽过程中会产生较高的温度,不仅会加剧刀具磨损,还会在加工表面形成较厚的变质层,从而影响零件质量。为实现对钛合金盘铣开槽过程的优化与控制,本文设计了单因素试验和正交试验,采用半人工热电偶法测量钛合金盘铣开槽的铣削温度,利用极差法和响应曲面法分析工艺参数对铣削温度的影响规律,运用线性回归技术和信噪比法建立铣削温度预测模型,采用“F”检验法检验模型的显著性。研究结果表明:单因素试验与正交试验的试验结果一致,即铣削温度随着各铣削参数的增大而增大;主轴转速对铣削温度影响最明显,其次是进给速度,最后是切削深度;线性回归技术和信噪比法建立的铣削温度预测模型回归效果良好,且信噪比模型的显著性高于线性回归模型。Because of the large diameter of disk milling cutters,the big cutting allowance and the small heat conductivity coefficient of titanium alloys,a high milling temperature is produced during milling titanium alloys,which not only intensifies tool wears,but also generates a thick affected layer on machined surfaces,thus affecting the quality of parts.In order to optimize and control the process of grooving titanium alloys by disc milling,a single factor experiment and an orthogonal experiment are designed,and a semi-artificial thermocouple method is adopted to measure the milling temperature.The effect of technological parameters on milling temperature is analyzed by the extremum difference analysis and response surface method.The prediction model of milling temperature is built through linear regression method and signal-to-noise ratio method,and the significance of models is checked by“F”test method.The results show that the conclusion of the single factor experiment is in good agreement with the conclusion of the orthogonal experiment.The milling temperature increases with the increase of technological parameters.The spindle speed has a most significant effect on milling temperature,followed by feed rate,and finally cutting depth.Two different prediction models of milling force all have good regression effects,and the significance of the model built by signal-to-noise ratio method is better than that of the model built by linear regression method.

关 键 词：TC4钛合金 盘铣 铣削温度 工艺参数 

分 类 号：TG54[金属学及工艺—金属切削加工及机床] TG501.4