An optimized feedrate scheduling method for CNC machining with round-off error compensation

2018 ◽  
Vol 97 (5-8) ◽  
pp. 2369-2381 ◽  
Author(s):  
Hepeng Ni ◽  
Tianliang Hu ◽  
Chengrui Zhang ◽  
Shuai Ji ◽  
Qizhi Chen
2018 ◽  
pp. 827-896
Author(s):  
David A. Stephenson ◽  
John S. Agapiou

2020 ◽  
Vol 99 ◽  
pp. 102028 ◽  
Author(s):  
Wei Fan ◽  
Jianwei Ji ◽  
Pengyue Wu ◽  
Dingzhu Wu ◽  
Hua Chen

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881692 ◽  
Author(s):  
Jiankang Liu ◽  
Hongya Fu ◽  
Jihao Qin ◽  
Hongyu Jin

This article presents an online three-axis non-uniform rational B-splines preprocessing and feedrate scheduling method with chord error, axial velocity, acceleration, and jerk limitations. A preprocessing method is proposed to accurately locate the critical points by reducing pre-interpolation feedrate in feedrate limit violation regions. In the preprocessing stage, the non-uniform rational B-splines curve is subdivided into segments by the critical points and the corresponding feedrate constraints are obtained. A sliding look-ahead window-based feedrate scheduling method is proposed to generate smooth feedrate profile for the buffered non-uniform rational B-splines segments. The feedrate profile corresponding to each non-uniform rational B-splines block is constructed according to the block length and the given limits of acceleration and jerk. The feedrate modification method for non-schedulable short blocks is also described which aimed at avoiding feedrate discontinuity at the junction of two non-uniform rational B-splines blocks. With the proposed method, a successful feedrate profile could be generated with sufficient look-ahead trajectory length in the buffer, which enables that the preprocessing and feedrate planning to be performed progressively online. Simulation and experimental tests with different non-uniform rational B-splines curves are carried out to validate the feasibility and advantages of the proposed method. The results show that the proposed method is capable of making a balance between the machining efficiency, machining precision, and computational complexity.


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