Crossing principle-based feedrate planning method for 5-axis CNC milling with drive constraints

ABSTRACT

The careful selection of the feedrate is necessary during the numerical control (NC) machining process, to prevent drive characteristics such as velocity, acceleration, and jerk of each axis from exceeding their physical limits, as this can damage the structure of the machine tool. In this study, a new off-line feedrate interpolation method based on the constraint intersection principle is proposed that can satisfy the chord error, velocity, acceleration, and jerk limits of the drive axes. The relationship between the feedrate of the cutter tip and the driving characteristics of each axis is established by changing the kinematics formula. Based on the principle of cross-constraints, the constraint overshoot of the driving axis in a sensitive area on the feed path can be prevented effectively, thereby ensuring the geometric accuracy and machine drive characteristics. Furthermore, illustrated examples are provided to validate the feasibility and applicability of the proposed feedrate interpolation method.

KEYWORDS:

• NC machining
• driving characteristics
• off-line feedrate interpolation
• constraint intersection

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was partially supported by the National Science Foundation of China (Grant No. 51975097, 91948203), the Fundamental Research Funds for the Central Universities (DUT18JC38), the Key Program of Natural Science Foundation of Liaoning province (20180520030) and Open Research Fund of State Key Laboratory of High Performance Complex Manufacturing, Central South University (Kfkt2017-06).

Notes on contributors

Longkun Xu

Longkun Xu is a PhD candidate in school of automotive engineering at Dalian University of Technology, China. He received the B.S. degree (2015) in vehicle engineering from Shandong University of Technology, and the M.S. degree (2018) in vehicle engineering from Dalian University of Technology. His research interests include measurement-machining integrated manufacturing and adaptive machining.

Weichen Zhang

Weichen Zhang is a M.S. candidate in school of mechanical engineering at Dalian University of Technology, China. He received the B.S. degree (2017) in mechanical manufacturing and automation from Fuzhou University. His research interests include measurement trajectory planning.

Zhen Geng

Zhen Geng is a M.S. candidate in school of automotive engineering at Dalian University of Technology, China. He received the B.S. degree (2017) in Henan Polytechnic University. His research interests include simulation of surface topography in CNC milling.

Jinting Xu

Jinting Xu is an associate professor of school of automotive engineering at Dalian University of Technology, China. He received the B.S. degree (2002) in chemical machinery, the M.S. degree (2005) in mechanical engineering from Dalian University of Technology, and the Ph.D. degrees (2009) in mechanical engineering from Shenyang Institute of Automation, Chinese Academy of Sciences, China. His research interests include geometric modeling and algorithms for CNC machining, CAD/CAM integration, and additive manufacturing.