Cutting force prediction for five-axis ball-end milling considering cutter vibrations and run-out

2015 ◽  
Vol 96-97 ◽  
pp. 206-215 ◽  
Author(s):  
S.B. Wang ◽  
L. Geng ◽  
Y.F. Zhang ◽  
K. Liu ◽  
T.E. Ng
Keyword(s):  
Cutting Force ◽  
End Milling ◽  
Cutting Force Prediction ◽  
Force Prediction ◽  
Ball End Milling ◽  
Five Axis

Dynamics and Stability Prediction of Five-Axis Flat-End Milling

2017 ◽  
Vol 139 (6) ◽  
Author(s):  
YaoAn Lu ◽  
Ye Ding ◽  
LiMin Zhu
Keyword(s):  
Cutting Force ◽  
End Milling ◽  
Stability Prediction ◽  
Tool Orientation ◽  
Cutting Force Prediction ◽  
Vector Method ◽  
Force Prediction ◽  
Flat End Milling ◽  
The Stability ◽  
Five Axis

The tool orientation of a flat-end cutter, determined by the lead and tilt angles of the cutter, can be optimized to increase the machining strip width. However, few studies focus on the effects of tool orientation on the five-axis milling process stability with flat-end cutters. Stability prediction starts with cutting force prediction, and the cutting force prediction is affected by the cutter-workpiece engagement (CWE). The engagement geometries occur between the flat-end cutter and the in-process workpiece (IPW) are complicated in five-axis milling, making the stability analysis for five-axis flat-end milling difficult. The robust discrete vector method (DVM) is adopted to identify the CWE for flat-end millings, and it can be extended to apply to general cutter millings. The milling system is then modeled as a two-degrees-of-freedom spring-mass-damper system with the predicted cutting forces. Thereafter, a general formulation for the dynamic milling system is developed considering the regenerative effect and the mode coupling effect simultaneously. Finally, an enhanced numerical integration method (NIM) is developed to predict the stability limits in flat-end milling with different tool orientations. Effectiveness of the strategy is validated by conducting experiments on five-axis flat-end milling.

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