Quantitative Evaluation and Error Sensitivity Analysis of Accuracy Retentivity of CNC Machine Tools

被引:0
|
作者
Wang Y. [1 ]
Wu J. [1 ]
Liu K. [1 ]
Liu H. [1 ]
Liu Z. [1 ]
Lian M. [1 ]
机构
[1] Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian
关键词
Accuracy; CNC machine tools; Retentivity evaluation; Sensitivity analysis;
D O I
10.3901/JME.2019.05.130
中图分类号
学科分类号
摘要
Aiming at the problem of quantitative evaluation of accuracy retentivity of CNC machine tools. Basic connotation of accuracy retentivity is analyzed. The conception of accuracy retentivity degree is put forward and its accurate mathematical description is also given. On the basis of mathematical description, evaluation model of volumetric accuracy retentivity of machine tools is established based on multi-body theory whereby forming the characterization and expression of accuracy retentivity ability of machine tools. In order to realize error tracing, influence of time varying state of each error term on the volumetric accuracy retentivity degree of machine tools is analyzed by using SOBOL global sensitivity theory. Taking a three-axis vertical machining center as the experimental object, nine kinds of accuracy index were detected for a period of 400 days of long-term tracking test. The variation laws of individual accuracy retentivity degree and volumetric accuracy retentivity degree with time are calculated and analyzed. The sensitivity of error on the accuracy retentivity of machine tool is quantitative evaluated. The effectiveness of proposed method and model are verified. © 2019 Journal of Mechanical Engineering.
引用
收藏
页码:130 / 136
页数:6
相关论文
共 15 条
  • [1] Zhao W., Zhang X., Lu D., Et al., Present situation and countermeasure of domestic CNC machine tool technology, Aeronautical Manufacturing Technology, 59, 9, pp. 16-22, (2016)
  • [2] Cheng Q., Zhang Z., Zhang G., Et al., Geometric accuracy allocation for multi-axis CNC machine tools based on sensitivity analysis and reliability theory, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 229, 6, pp. 1134-1149, (2015)
  • [3] Tian W., Gao W., Chang W., Et al., Error modeling and sensitivity analysis of a five-axis machine tool, Mathematical Problems in Engineering, 2014, 8, (2014)
  • [4] Zhao Q., Hong J., Liu Z., Et al., Modeling method on motive axes error transfer chain for machine tool of arbitrary topological structure, Journal of Mechanical Engineering, 52, 21, pp. 130-137, (2016)
  • [5] Han F., Zhao J., Zhang L., Et al., Synthetical analysis and experimental study of the geometric accuracy of CNC machine tools, Journal of Mechanical Engineering, 48, 21, pp. 141-148, (2012)
  • [6] Chu N., Zhang W., Spatial error tracing on NC machines based on pattern searching, Chinese Journal of Construction Machinery, 13, 3, pp. 202-205, (2015)
  • [7] Cheng Q., Liu G., Liu Z., Et al., An identification approach for key geometric error sources of machine tool based on sensitivity analysis, Journal of Mechanical Engineering, 48, 7, pp. 171-179, (2012)
  • [8] Huang Q., Zhang G., Zhang X., Sensitivity analysis of the pose error of machine tool, Journal of Mechanical Engineering, 45, 6, pp. 141-146, (2009)
  • [9] Huang Q., Zhang G., Precision design for machine tool based on error prediction, Chinese Journal of Mechanical Engineering, 26, 1, pp. 151-157, (2013)
  • [10] Chen G., Liang Y., Sun Y., Et al., Volumetric error modeling and sensitivity analysis for designing a five-axis ultra-precision machine tool, The International Journal of Advanced Manufacturing Technology, 68, 9, pp. 2525-2534, (2013)