• CN:11-2187/TH
  • ISSN:0577-6686

›› 2013, Vol. 49 ›› Issue (21): 168-175.

• 论文 • 上一篇    下一篇

基于铣削力精确建模的工件表面让刀误差预测分析

宋戈;李剑峰;孙杰   

  1. 山东大学机械工程学院;山东大学高效洁净机械制造教育部重点实验室
  • 发布日期:2013-11-05

Analysis on Prediction of Surface Error Based on Precision Milling Cutting Force Model

SONG Ge;LI Jianfeng;SUN Jie   

  1. School of Mechanical Engineering, Shandong University Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University
  • Published:2013-11-05

摘要: 航空航天制造业结构件的高速铣削加工中,在切削力作用下由整体铣削刀具挠度变形所引起的工件表面让刀误差,严重制约零件的加工精度和效率。针对这一问题,通过建立铣削力精确预测模型,结合刀具刚度特点,对工件让刀误差进行预测分析。将切削速度和刀具前角对切削力的影响规律引入二维直角单位切削力预测模型,并通过试验进行相关系数标定。借助等效前角将直角切削力预测系数应用到斜角切削力的预测,通过矢量叠加构建整体刀具三维切削力模型。分析刀具挠度变形对铣削层厚度及铣削接触中心角范围影响规律。基于离散化的刀具模型和切削力模型,建立铣削载荷条件下刀具等效直径悬臂梁模型弯曲变形计算方法。构建以刀具变形对铣削过程影响作用规律为反馈的刚性工件表面让刀误差及切削力柔性预测模型,通过整体铣刀铣削试验验证所建立理论模型的预测精度。

关键词: 刀具挠度变形, 切削力预测, 让刀误差, 铣削加工

Abstract: High speed peripheral milling with solid tool is a critical machining process in modern aerospace manufacture industry. However, the surface error involving with tool deflection in milling limits the product precision and efficiency. In this research, the prediction of surface error is achieved with respect to precision milling force model and tool rigidity. Then the prediction coefficients are optimized involved with cutting speed and tool rake angle based on experiment data. And oblique cutting force model is approached transformed from orthogonal cutting force modal by equivalent rake angle, which is the understructure of milling force model. Furthermore, influence of tool deflection on thickness and range of cutting layer is considered as the feedback to the prediction of cutting force and surface error. Prediction model of tool deflection is achieved based on the equivalent diameter tool model and milling force model with respect to deflection superposition principle. Finally, prediction model of surface error and milling force is approached with the tool deflection as feedback. And the predicting precision is validated by peripheral milling experiment.

Key words: Cutting force prediction, Peripheral milling, Surface error, Tool deflection

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