Smoothing method of generating flank milling tool paths for five-axis flat-end machining considering constraints

2020 ◽  
Vol 110 (11-12) ◽  
pp. 3295-3309
Author(s):  
Yao-An Lu ◽  
Cheng-Yong Wang
2011 ◽  
Vol 223 ◽  
pp. 691-700 ◽  
Author(s):  
Xavier Beudaert ◽  
Pierre Yves Pechard ◽  
Christophe Tournier

In the context of 5-axis flank milling, the machining of non-developable ruled surfaces may lead to complex tool paths to minimize undercut and overcut. The curvature characteristics of these tool paths generate slowdowns affecting the machining time and the quality of the machined surface. The tool path has to be as smooth as possible while respecting the maximum allowed tolerance. In this paper, an iterative approach is proposed to smooth an initial tool path. An indicator of the maximum feedrate is computed using the kinematical constraints of the considered machine tool, especially the maximum velocity, acceleration and jerk. Then, joint coordinates of the tool path are locally smoothed in order to raise the effective feedrate in the area of interest. Machining simulation based on a N-buffer algorithm is used to control undercut and overcut. This method has been tested in flank milling of an impeller and can be applied in 3 to 5-axis machining.


Procedia CIRP ◽  
2016 ◽  
Vol 56 ◽  
pp. 161-166 ◽  
Author(s):  
Yaoan Lu ◽  
Qingzhen Bi ◽  
Limin Zhu

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 22763-22772 ◽  
Author(s):  
Xin Zhao ◽  
Huan Zhao ◽  
Shaohua Wan ◽  
Xiangfei Li ◽  
Han Ding

2012 ◽  
Vol 472-475 ◽  
pp. 114-118
Author(s):  
Jun Feng Tian ◽  
Hu Lin ◽  
Zhuang Yao ◽  
Jie Li

Five-axis CNC flank milling has recently received much attention in industry. Tool path planning is a critical issue in five-axis CNC flank milling operation. Previous work based on dynamic-programming generated optimal tool path by global minimising the machining error. However, global minimal machining error may not guarantee a local machining error controllable. Therefore, this paper proposes a method based on combination of global and local optimization, which makes tool path of five-axis flank milling optimal and error controllable. Oversize error of tool paths can be partially adjusted so that a specified tolerance is met in global optimization processing. Finally, the experiments of the simulative are made by this algorithm. The result verifies the feasibility and validity of the proposed scheme.


2010 ◽  
Vol 443 ◽  
pp. 330-335 ◽  
Author(s):  
Yu Han Wang ◽  
Jing Chun Feng ◽  
Sun Chao ◽  
Ming Chen

In order to exploit the advantages of five-axis flank milling method for space free surface machining to the full, a definition of non-equidistant dual-NURBS tool path is presented first. On this basis, the constraint of velocity of points on the tool axis and the constraint of scanning area of the tool axis are deduced. Considering both of these constraints, an adaptive feed five-axis dual-NURBS interpolation algorithm is proposed. The simulation results show that the feedrate with the proposed algorithm satisfies both of the constraints and the machining time is reduced by 38.3% in comparison with the constant feed interpolator algorithm.


2010 ◽  
Vol 42 (10) ◽  
pp. 903-910 ◽  
Author(s):  
LiMin Zhu ◽  
Gang Zheng ◽  
Han Ding ◽  
YouLun Xiong

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