期刊文献+

端铣加工面尺寸误差预测 被引量:1

Prediction of Dimensional Error of Machined Face in End Milling Process
下载PDF
导出
摘要 为了精确预测端铣加工面尺寸误差,利用铣削动态力卷积模型,引入表面生成窗概念,并考虑到工件与刀具的变形误差、机床空间误差与刀具偏摆的影响,建立了加工面尺寸误差预测模型。通过在铣床上进行实验,验证了该模型能够正确预测工件尺寸误差及其分布范围,且在铣刀轴向切深、主轴转速和进给速度一定的情况下,增加径向切深不会对工件尺寸误差产生显著影响。 In order to accurately predict the dimensional error of the machined face in end milling process,prediction model of dimensional error was established by using dynamic milling force convolution model and introducing concept of surface generation window. The influences of deformation errors of workpiece and tool,and spatial error of machine tool and tool runout were considered. It was validated by end milling experiment,that the model was able to correctly predict dimensional error and its distribution range of the workpiece. Moreover,increasing radial depth of the tool will not have a significant impact on the dimensional error of workpiece with the condition of same axial milling depth of cut,spindle speed and feed rate.
出处 《机床与液压》 北大核心 2015年第7期89-91,共3页 Machine Tool & Hydraulics
基金 西京学院科研基金项目(XJ130239)
关键词 铣削动态力 机床空间误差 刀具偏摆 尺寸误差预测 Dynamic milling force Spatial error of machine Tool runout Prediction of dimensional error
  • 相关文献

参考文献9

二级参考文献50

  • 1朱喜林,吴博达,武星星,李晓梅.BP网络在优化机械加工参数中的应用[J].计算机集成制造系统,2004,10(9):1139-1143. 被引量:12
  • 2焦玮玮,董增仁,孙威,刘卫.核磁共振永磁体无源匀场的神经网络方法[J].中国科学院研究生院学报,2006,23(2):149-154. 被引量:4
  • 3何涛,龚立雄,钟飞.基于RBF神经网络的机械加工误差质量模型[J].湖北工业大学学报,2007,22(1):57-59. 被引量:2
  • 4张智海 郑力 等.铣削力/扭矩的解析卷积模型.全国生产工程第入届学术大会会议论文集[M].机械工业出版社,1999.263-267. 被引量:1
  • 5王欣.铣削过程仿真:(学士学位论文)[M].北京:清华大学,1999.. 被引量:1
  • 6[1]Shyong T J, Li L C. Finite-elemen modeling of static surface errors in peripheral milling of thin walled workpieces[J]. Journal of Materia ls Processing Technology,1999, 94(2):235-246. 被引量:1
  • 7[2]Gu F. An enhanced cutting force model for face milling with variable cutter feed motion and complex workpiece geometry[J]. Journal of Manufacturing Science and Engineering,1997, 119:467-475. 被引量:1
  • 8[3]De Meter E C. A model to predict minimum required clamp pre-loads in light of fixture workpiece compliance[J]. International Journal of Machine To ols and Manufacture,2001, 41(7):1031-1054. 被引量:1
  • 9[4]Wang Y F. Off-line modeling and planning of optimal clamping forces for an intelligent fixturing system[J]. International Journal of Machine Tools and Manufacture,1999,39(2): 253-271. 被引量:1
  • 10[5]Sagherian R. A simulation system for improving maching accuracy in mi lling[J]. Computer in Industry,1990,14:293-305. 被引量:1

共引文献67

同被引文献6

引证文献1

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