期刊文献+

数控机床热误差鲁棒建模新方法及实时补偿 被引量:5

New Methods of Thermal Error Robust Modeling and Real Time Compensation System for NC machine Tools
下载PDF
导出
摘要 提出数控机床热误差鲁棒建模的综合极值法和优化试验设计法两种新方法。它们不仅使用统计理论,还结合机床结构、工程判断和众多经验等,使热误差数学模型的鲁棒性更强、精确性更高。文章针对研究的车削中心,还提出了一个结构紧凑、简单易用和成本低廉的热误差补偿系统。提出的建模方法和补偿系统在某生产厂家50多台相同类型车削中心的热误差补偿应用中,仅使用一或二种热误差数学模型,几乎所有机床的热误差补偿都得到了良好的效果。经补偿,机床由热变形引起的工件尺寸误差从原来的35μm降低到12μm。 In this paper, two new methods of thermal error robust modeling for NC machine tools are proposed: one is the comprehensive extreme value method, the other is the optimal experiment design method. These two methods have the characteristics of combining the static theory with machine structures, engineering judgments and experiences, which make the thermal error models more robust and accurate. Also, in this research, a new thermal error compensation system is developed which can eliminate the stand alone computer and reduce the size and cost of the system. More than 50 turning centers are implemented with the compensation system in which the two new modeling methods are used, and almost all turning centers get good results and the size variations of the parts could be reduced from more than 35μm to less than 12μm, and the accuracy of the machine is improved significantly.
机构地区 上海交通大学
出处 《制造技术与机床》 CSCD 北大核心 1998年第6期8-10,共3页 Manufacturing Technology & Machine Tool
关键词 数控机床 热误差 鲁棒建模 实时补偿 NC Machine Tool, Thermal Error, Robust Modeling, Real Time Compensation
  • 相关文献

同被引文献23

  • 1李永祥,童恒超,曹洪涛,张宏韬,杨建国.数控机床热误差的时序分析法建模及其应用[J].四川大学学报(工程科学版),2006,38(2):74-78. 被引量:38
  • 2李永祥,童恒超,杨建国.灰色系统理论在机床热误差测点优化中的应用[J].机械设计与研究,2006,22(3):78-80. 被引量:28
  • 3宋现春,李春阳,刘向群,邹润泽.盘丝磨床磨削精度实时补偿系统[J].机械制造,1996,34(10):41-42. 被引量:3
  • 4潘淑微.数控车床热误差鲁棒性建模的研究现状[J].工具技术,2007,41(5):10-14. 被引量:7
  • 5Bryan J.International status of thermal error research.Annals of the CIRP,1990,39 (2):645 ~ 656.
  • 6Ramesh R, Mannan M A, Poo A N. Error compensation in machine tools--a review, part lI : thermal errors [ J ]. International Journal of Machine Tools and Manufacture,2000,40:1 257 1 284.
  • 7Week M. The reduction and compensation of thermal error in machine tools[ J]. Annals of CIRP, 1995,44(2) :589 -597.
  • 8Lo C H,Yuan J, Ni J. Optimal temperature variable selection by grouping approach for thermal error modeling and compensation [ J ]. International Journal of Machine Tools and Manufacture, 1999,39 (9) : 1 383 - 1 396.
  • 9KIM S K, CHO D W. Real-time estimation of temperature distribution in a ball-screw system [ J]. Int. J. Mach. Tools Manufacture, 1997, 37 (4) :451 - 464.
  • 10Yang S,Yuan J,Ni J. The improvement of thermal error modeling and compensation on machine tools by CMAC neural network [.1]. Int. 1. Math. Tonls Msnufacture. 1996_36(4)-527-537.

引证文献5

二级引证文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部