东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (4): 521-526.DOI: 10.12068/j.issn.1005-3026.2019.04.013

• 机械工程 • 上一篇    下一篇

机床动态切削力测定试验与时间序列模型预测

张宝， 赵春雨， 闻邦椿   

  1. (东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2018-03-05 修回日期:2018-03-05 出版日期:2019-04-15 发布日期:2019-04-26
  • 通讯作者: 张宝
  • 作者简介:张宝(1989-)，男，河北秦皇岛人，东北大学博士研究生； 赵春雨(1963-)，男，辽宁黑山人，东北大学教授，博士生导师； 闻邦椿(1930-)，男，浙江温岭人，东北大学教授，博士生导师，中国科学院院士.
  • 基金资助:
    国家自然科学基金资助项目(51775094).

Dynamic Cutting Force Measurement Test and Prediction of Time Series Model for Machine Tools

ZHANG Bao， ZHAO Chun-yu， WEN Bang-chun   

  1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.
  • Received:2018-03-05 Revised:2018-03-05 Online:2019-04-15 Published:2019-04-26
  • Contact: ZHAO Chun-yu
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

744

摘要： 为获取动态切削力，在数控机床ETC1625P上对12Cr18Ni9回转件进行外圆切削试验.利用信号实时采集系统获取刀具在切削平面内两个正交方向运动的位置信息，同时将KISTLER传感器安装在机床刀头上，测得加工过程中三个切削方向的实时切削力.试验数据表明切削力在进给方向随位移而波动性变化.为研究切削力与切削参数之间的复杂非线性关系，通过时间序列分析建模，实现对动态切削力的预测.对切削力误差进行分析，得到的预测精度符合要求.

关键词: 机床, 切削试验, 动态切削力, 时间序列分析, 预测建模

Abstract: In order to obtain the dynamic cutting force， the experiment of 12Cr18Ni9 revolving parts was carried out on the NC machine tool ETC1625P. The location information of the cutter in the two orthogonal directions of the cutting plane was obtained by the real-time signal acquisition system. Meanwhile， the KISTLER sensor was installed on the tool head of the machine tool to measure the real-time cutting forces in three cutting directions. The experimental data shows that volatility change of the cutting force was produced in the feed direction with the displacement. In order to study the complex nonlinear relationship between the cutting force and cutting parameters， the prediction of dynamic cutting force is realized by time series analysis modeling. The cutting force error is analyzed， and the prediction accuracy obtained meets the requirements.

Key words: machine tool, cutting experiment, dynamic cutting force, time series analysis, predictive modeling

中图分类号: