Tool path optimization in postprocessor of five-axis machine tools

2013 ◽  
Vol 68 (9-12) ◽  
pp. 2683-2691 ◽  
Author(s):  
Jiangang Li ◽  
Hongsheng Zhouyang ◽  
Yunjiang Lou
Keyword(s):  
Machine Tools ◽  
Tool Path ◽  
Path Optimization ◽  
Tool Path Optimization ◽  
Five Axis

Adaptive nonlinear tool path optimization for five-axis machining

2000 ◽  
Vol 38 (17) ◽  
pp. 4329-4343 ◽  
Author(s):  
E. Bohez ◽  
S.S. Makhanov ◽  
K. Sonthipermpoon
Keyword(s):  
Tool Path ◽  
Path Optimization ◽  
Tool Path Optimization ◽  
Five Axis

Envelope Surface Modeling and Tool Path Optimization for Five-Axis Flank Milling Considering Cutter Runout

2014 ◽  
Vol 136 (4) ◽  
Author(s):  
Zhou-Long Li ◽  
Li-Min Zhu
Keyword(s):  
Distance Function ◽  
Tool Path ◽  
Surface Modeling ◽  
Path Optimization ◽  
Mixed Integer ◽  
Flank Milling ◽  
Cutter Runout ◽  
Tool Path Optimization ◽  
Envelope Surface ◽  
Five Axis

Cutter runout is a common and inevitable phenomenon impacting the geometry accuracy in the milling process. However, most of the works on tool path planning neglect the cutter runout effect. In this paper, a new approach is presented to integrate the cutter runout effect into envelope surface modeling and tool path optimization for five-axis flank milling with a conical cutter. Based on the geometry model of cutter runout which consists of cutter axis and cutter tilt, an analytic expression of cutter edge combined with four runout parameters is derived. Then the envelope surface formed by each cutter edge is constructed using the envelope theory of sphere congruence. Due to the cutter runout effect, the envelope surfaces formed by the cutter edges are different from each other, and the valid envelope surface is the combination of these envelope surfaces which contribute to the final machined surface. To measure the machining errors, the geometry deviations between the valid envelope surface and the design surface are calculated with the distance function. On the basis of the differential property of the distance function, tool path optimization considering cutter runout is modeled as a mixed-integer linear programming (MILP) problem, which can be solved by the branch-and-bound method. Finally, numerical examples are given to confirm the validity and efficiency of the proposed approach. The results show that the geometry errors induced by runout can be reduced significantly using the proposed method.

Tool path optimization procedures for machine tools

1995 ◽  
Vol 28 (2) ◽  
pp. 367-377 ◽  
Author(s):  
Buddhadev Roychoudhury ◽  
John F. Muth
Keyword(s):  
Machine Tools ◽  
Tool Path ◽  
Path Optimization ◽  
Tool Path Optimization
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