期刊文献+

五轴机床误差建模与补偿解析新算法 被引量:13

A New Synthesis Error Modeling and Compensating Algorithm of the Five-axis Machine Tools
下载PDF
导出
摘要 为了建立高精度的五轴机床综合误差补偿模型,假设机床各部件为刚体连接,简化了机床运动拓扑关系,并解析了59项综合误差分量。基于小误差假设,运用多体动力学对机床几何误差和热误差统一建模,提出了新型综合误差补偿模型。综合机床各轴热误差解析结果,提出了针对主轴热误差和进给轴热误差的新型测量法:5点测量法和6点测量法。考虑到机床热误差测量点分布离散且数据信息不完整,运用灰色系统理论建立了变权系数GM(1,n)热误差预测模型,并完成了热误差曲线拟合。实验证明理论预测值与实验结果一致,主轴模型误差范围在0~2μm之间,进给轴模型误差在0~12μm之间。将该算法用SIMEMS840D数控系统中的PMC单元开发实时补偿软件,实验表明机床在完成补偿后误差变化量在0~29μm之内。 In order to construct the high precision error compersation model,the topological relationship of machine kinematics was simplified and 59 independent error components were analyzed. Based on the rigid body kinematics with small error assumption,a new comprehensive error model with geometric error and thermal error was given. A new thermal error measurement method was proposed based on the thermal error analysis. Five-point method was used to measure the spindle thermal error. Six-point method was used to measure the feed axis thermal error. Considering error measurement point discrete and incomplete,with the variable weights GM( 1,n),the thermal error model was proposed to pradict grey thermal error data. The experimental results showed that the spindle model error range was between 0~ 2 μm,and the feed axis model error range was between 0 ~ 12 μm. Theoretical prediction curves were consistent with the experimental results. A CNC real-time compensation software was developed with SIMEMS840D controller's PMC program based on above error model.After the compensation,the machine tool error range was between 0 ~ 29 μm.
出处 《四川大学学报(工程科学版)》 EI CAS CSCD 北大核心 2013年第5期154-159,共6页 Journal of Sichuan University (Engineering Science Edition)
基金 国家科技重大专项课题资助项目(2012ZX04011-031) 四川省科技支撑计划资助项目(2010GZ0051)
关键词 五轴机床 多体动力学 综合误差补偿模型 变权系数 five-axis machine tool multi-body dynamics synthesis error compensation model variable weights
  • 相关文献

参考文献14

  • 1要小鹏,殷国富,方辉,程锦,李光明.五轴数控机床的空间误差建模与解耦补偿分析[J].高技术通讯,2011,21(10):1084-1089. 被引量:6
  • 2She Chenhua, Chang Chuneheng. Design of a generic five- axis postprocessor based on generalized kinematics model of machine tool[ J ]. International Journal of Machine Tools and Manufacture,2007,47 (3/4) : 537 - 545.
  • 3Zhu Shaowei, Ding Guofu, Qin Shengfeng, et al. Integrated geometric error modeling, identification and compensation of CNC machine tools [ J ]. International Journal of Machine Tools and Manufacture,2012,52 ( 1 ) :24 - 29.
  • 4王秀山,杨建国,闫嘉钰.基于多体系统理论的五轴机床综合误差建模技术[J].上海交通大学学报,2008,42(5):761-764. 被引量:52
  • 5Bohez E L J, An'yajunya B, Sinlapeecheewa C, et al. System- atic geometric rigid body error identification of 5-axis mining machines [ J ]. Computer-Aided Design, 2007,39 (4) : 229 - 244.
  • 6任永强,杨建国.五轴数控机床综合误差补偿解耦研究[J].机械工程学报,2004,40(2):55-59. 被引量:42
  • 7刘又午,章青,赵小松,张志飞,张永丹.基于多体理论模型的加工中心热误差补偿技术[J].机械工程学报,2002,38(1):127-130. 被引量:37
  • 8Ramesh R, Mannan M A, Poo A N. Thermal error measur- ement and modelling in machine tools:Part I. Influence of varying operating conditions [ J ]. International Journal of Ma- chine Tools and Manufacture, 2003,43 (4) : 391 - 404.
  • 9Lin Z C, Chang J S. The building of spindle thermal dis- placement model of high speed machine center[ J]. Advance Manufacture Technology,2007,34 (5/6) :556 - 566.
  • 10Andolfatto L, Lavernhe S, Mayer J R R. Evaluation of ser- vo,geometric and dynamic error sources on five-axis high- speed machine tool [ J ]. International Journal of Machine Tools and Manufacture,2011,51 ( 10/11 ) :787 - 796.

二级参考文献20

  • 1刘启东,徐春广.基于多体系统理论的车铣中心空间误差模型分析[J].组合机床与自动化加工技术,2005(5):55-58. 被引量:9
  • 2刘丽冰.数控机床在线检测及误差补偿关键技术研究:博士学位论文[M].天津:天津大学,1998..
  • 3休斯顿R L 刘又午.多体系统力学(上、下册)[M].天津:天津大学出版社,1987/1991..
  • 4章青.数控机床定位误差建模、参数辨识及补偿技术的研究:博士学位论文[M].天津:天津大学,1995..
  • 5She C H, Chang C C. Development of a five - axis post- processor system with a nutating head. Journal of Materi- als Processing Technology, 2007, 187-188 (12): 60-64.
  • 6Bjorklund S, Bjurstam P, Novak A. Compensation of sys- tematic errors in five-axis high-speed machining. Interna- tional Journal of Production Research, 2002,40 ( 15 ) : 3765 -3778.
  • 7Bohez Erik L J, Ariyajunya B, Sinlapeecheewa C, et al. Systematic geometric rigid body error identification of 5 - axis milling machines. Computer -Aided Design, 2007, 39 (4): 229-244.
  • 8Ulutan D, Lazoglu I, Dinc C. Three - dimensional tem- perature predictions in machining processes using finite difference method. Journal of materials processing technol- ogy, 2009, 209(2): 1111-1121.
  • 9Lin Y, Shen Y. Modeling of five -axis machine tool me- trology models using the matrix summation approach. In- ternational Journal of Advanced Manufacturing Technolo- gy, 2003, 21 (4) : 243-248.
  • 10Hsu Y Y, Wang S S. A new compensation method for ge- ometry errors of five - axis machine tools. International Journal of Machine Tools & Manufacture, 2007, 47 (2) : 352-360.

共引文献131

同被引文献104

  • 1肖慧孝,姚晓栋,冯文龙,沈牧文,杨建国.大型数控机床导轨直线度误差测量与实时补偿[J].机械科学与技术,2015,34(1):90-93. 被引量:7
  • 2郭辰,杨林,李庆勇.基于多体系统理论的数控机床误差建模[J].机械设计与制造,2005(3):123-125. 被引量:20
  • 3KNAPP W,BRINGMANN B.大距离运动的直线度测量(英文)[J].纳米技术与精密工程,2005,3(4):249-256. 被引量:5
  • 4李志仁,徐杨.加速竹材加工机械开发,充分利用我国竹材资源[J].中国人造板,2006,13(3):23-24. 被引量:13
  • 5许郁生.中国机床工业的发展和市场需求[J].世界制造技术与装备市场,2007(3):34-34. 被引量:2
  • 6Ramesh R,Mannan M A, Poo A N. Error Compen- sation in Machine Tools-review Part Ⅱ: Thermal Error [J]. International Journal of Machine Tools and Manufacture, 2000,40(9) : 1257-1284.
  • 7Huang Yanqun, Zhang Jie, Li Xu, et al. Thermal Er- ror Modeling by Integrating GA and BP Algorithms for the High-speed Spindle[-J]. International Journal Advance Manufacture Technology, 2014,71 (9/12) : 1669-1675.
  • 8Ramesh R, Mannan M A, Poo A N, et al. Thermal Error Measurement and Modeling in Machine Tools,Part 11. Hubrid Bayesian Network-support Vector Machine Model[J]. The International Jour- nal of Machine Tools & Manufacture, 2003,43 (7) : 405-419.
  • 9Zhang Yi, Yang Jianguo, Jiang Hui. Machine Tool Thermal Error Modeling and Predietion by Grey Neural Network[J]. The International Journal of Advanced Manufaeturing Technology, 2012,59 ( 9/ 12) : 1068-1072.
  • 10Chen G J, Li K K, Chung T S, et al. Application of an Innovative Combined Forecasting Method in Power System Load Forecasting[J]. Electric Power Systems Research,2001,59(2) : 131-137.

引证文献13

二级引证文献75

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