东北大学学报（自然科学版）

东北大学学报（自然科学版） ›› 2021, Vol. 42 ›› Issue (9): 1299-1306.DOI: 10.12068/j.issn.1005-3026.2021.09.012

• 机械工程 • 上一篇    下一篇

车削工件2-D表面形貌检测方法研究

赵春雨1， 程大众1， 耿浩博2   

  1. (1.东北大学 机械工程与自动化学院， 辽宁 沈阳110819; 2.澳门大学 科技学院，澳门999078)
  • 修回日期:2020-11-20 接受日期:2020-11-20 发布日期:2021-09-16
  • 通讯作者: 赵春雨
  • 作者简介:赵春雨(1963-)，男，辽宁黑山人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51775094).

Research on 2-D Surface Topography Detection Method of Turning Workpieces

ZHAO Chun-yu1， CHENG Da-zhong1， GENG Hao-bo2   

  1. 1.School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. Faculty of Science and Technology， University of Macau， Macau999078， China.
  • Revised:2020-11-20 Accepted:2020-11-20 Published:2021-09-16
  • Contact: ZHAO Chun-yu
  • About author:-
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摘要： 主轴回转误差影响车削工件的加工精度，本文通过对主轴回转误差的分析和研究，提出了一种基于回转误差的车削工件2-D表面形貌检测方法，并建立了车削过程数学模型. MATLAB仿真结果表明，主轴径向回转误差会影响工件的车削半径和表面形貌，进而造成工件的同轴度误差、圆度误差，并增大表面粗糙度.为验证所提方法的有效性，搭建了2-D表面形貌检测平台进行数据采集，得到了主轴在切深方向的回转误差和车削工件的平均半径误差.实验结果表明实验与仿真结果在特性上具有一致性，验证了方法的可行性，对机床的性能调试及提高工件的加工质量具有参考价值.

关键词: 主轴回转误差;表面形貌检测;同轴度误差;圆度误差;表面粗糙度

Abstract: Spindle rotation error affects the machining accuracy of turning workpieces. Through analyses and studies of the spindle rotation error， a 2-D surface topography detection method was proposed for turning workpieces based on the rotation error， and the turning process model was established. The MATLAB simulation results showed that the spindle radial rotation error affects the turning radius and surface topography of the workpiece， resulting in the coaxiality error， roundness error and surface roughness. To verify the effectiveness of the proposed method， the 2-D surface topography detection platform for data collection was built， and the rotation error value of the spindle in the depth direction and average radius error of turning workpieces were obtained. The experimental results showed that the experiment and simulation results are consistent in characteristics， which verify the feasibility of the method and have reference value for the performance debugging of the machine tool and improving the processing quality of the workpieces.

Key words: spindle rotation error; surface topography detection; coaxiality error; roundness error; surface roughness

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