• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2016, Vol. 52 ›› Issue (21): 166-174.doi: 10.3901/JME.2016.21.155

• 数字化设计与制造 • 上一篇    下一篇

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基于“S”形加工样件的复合数控机床几何误差逆向追踪*

陈东菊, 董丽华, 高雪, 王晓峰, 范晋伟   

  1. 北京工业大学机械工程与应用电子技术学院 北京 100124
  • 出版日期:2016-11-05 发布日期:2016-11-05
  • 作者简介:陈东菊(通信作者),女,1980年出生,博士,副教授。主要研究方向为精密与超精密机床误差分析。

    E-mail:djchen@bjut.edu.cn

  • 基金资助:
    * 北京市自然科学基金(3142005)国家自然科学基金(51105005,51475010)资助项目; 20151108收到初稿,20160403收到修改稿;

Error Tracing of the Complex CNC Machine Tools
Based on “S” Shaped Workpiece

CHEN Dongju, DONG Lihua, GAO Xue, WANG Xiaofeng, FAN Jinwei   

  1. College of Mechanical Engineering & Applied Electronics Technology,Beijing University of Technology, Beijing 100124
  • Online:2016-11-05 Published:2016-11-05

摘要:

基于对“S”形加工样件的复合机床误差影响溯源的研究,提出一种辨识影响加工缺陷最大的误差参数的方法。该方法将“S”形样件加工缺陷与复合数控机床成形运动综合考虑,采用三次B样条曲面对“S”形样件加工缺陷进行数学表征,并逆向推导出了“S”形样件加工缺陷处对应的刀具中心的实际位置,求解出了实际加工曲面到机床刀具的映射关系。同时利用多体系统误差分析理论建立了复合机床加工缺陷生成模型,并从机床角度求解出了缺陷处误差的表达方程。接着在“S”形样件缺陷产生的位置处,根据误差参数的敏感度及其实测值计算各项误差参数对加工缺陷的贡献并进行排序,确定对加工缺陷影响较大的5项误差参数。试验结果表明:该5项误差参数和全部误差参数同时作用下各点的误差进行差值比较,发现差值最大不超过±1.5 μm,因此是对加工缺陷影响较大的5项误差参数。

关键词: “S”形样件, 加工缺陷, 敏感度, 误差溯源, 复合机床

Abstract: Based on the error influence tracing analysis for complex machine tool has been carried out based on “S” shaped workpiece. A method of judging the error parameters which is the biggest influence on machining defects is established. In this method, the machining defects of “S” shaped workpiece and shaping motions of complex machine tool are comprehensively considered. Cubic B-splines surface has been applied to surface representation. The actual position of tool center can be deduced by projecting the B-splines surface in its normal direction. The mapping relationship between the actual tool position and the actual machining curve is established. The machining defects generation model is established. The error expression equation has been deduced. Those 5 key parameters that have great influence on processing defects are determined according to the contribution which have been computed using the sensitivity and measured values of error parameters. Experimental results demonstrate that the error of each point is not more than±1.5 μm by comparing the five error parameters and all parameters under the action of at the same time. The biggest errors which influence on the machining defects are, , , , .

Key words: “S” shaped workpiece, error tracing, machining defect, sensitivity, complex machine tool