Skip to main content
SpringerLink
Log in

Research on Local Optimization Algorithm of 5-Axis CNC Machining Tool Axis Vector Based on Kinematic Constraints

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13455))

Included in the following conference series:

  • 2469 Accesses

Abstract

In this study, a local optimization method of the five-axis CNC machining tool axis vector based on kinematic constraints is proposed, which realizes the smoothing of the trajectory of the driving rotation axis in the machine tool coordinate system, so as to realize the smooth machining of the machine tool and reduce the occurrence of vibration. Firstly, this study proposes an optimization interval selection method based on kinematic parameters, that is, the tool path that does not meet the characteristics of the speed, acceleration or jerk of the rotating axis is defined as the tool path that needs to be optimized, and an algorithm based on bidirectional scanning is proposed to determine the start and end positions of each optimization interval. Secondly, the tool axis vector optimization method based on ruled surface is used to optimize the tool axis vector, and a ruled surface space is established at each tool position point, and the tool axis optimization is limited within a certain range, to minimize the dynamic characteristics of the rotary axis as the optimization goal to realize the optimization of the tool axis. Finally, the proposed method is verified by experiments, and the smoothing of the rotating drive shaft of the machine tool is realized.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Huang, T., Zhang, X.-M., Leopold, J., Ding, H.: Tool orientation planning in milling with process dynamic constraints: a minimax optimization approach. J. Manuf. Sci. Eng. Trans. Asme, 140(11) (2018). https://doi.org/10.1115/1.4040872

  2. Yu, D.-Y., Ding, Z.: Post-processing algorithm of a five-axis machine tool with dual rotary tables based on the TCS method. Int. J. Adv. Manuf. Technol. 102(9–12), 3937–3944 (2019). https://doi.org/10.1007/s00170-019-03490-y

    Article  Google Scholar 

  3. Xu, J., Zhang, D., Sun, Y.: Kinematics performance oriented smoothing method to plan tool orientations for 5-axis ball-end CNC machining. Int. J. Mech. Sci. 157, 293–303 (2019). https://doi.org/10.1016/j.ijmecsci.2019.04.038

    Article  Google Scholar 

  4. Chao, S., Altintas, Y.: Chatter free tool orientations in 5-axis ball-end milling. Int. J. Mach. Tools Manuf 106, 89–97 (2016). https://doi.org/10.1016/j.ijmachtools.2016.04.007

    Article  Google Scholar 

  5. Morishige, K., Takeuchi, Y., Kase, K.: Tool path generation using C-space for 5-axis control machining. J. Manuf. Sci. Eng.-Trans. Asme 121(1), 144–149 (1999). https://doi.org/10.1115/1.2830567

    Article  Google Scholar 

  6. Wang, N., Tang, K.: Automatic generation of gouge-free and angular-velocity-compliant five-axis toolpath. Comput. Aided Des. 39(10), 841–852 (2007). https://doi.org/10.1016/j.cad.2007.04.003

    Article  Google Scholar 

  7. Farouki, R.T., Li, S.: Optimal tool orientation control for 5-axis CNC milling with ball-end cutters. Comput. Aided Geometric Design 30(2), 226–239 (2013). https://doi.org/10.1016/j.cagd.2012.11.003

    Article  MathSciNet  MATH  Google Scholar 

  8. Ma, J.-W., Hu, G.-Q., Qin, F., Su, W.-W., Jia, Z.-Y.: Optimization method of tool axis vector based on kinematical characteristics of rotary feed axis for curved surface machining. Int. J. Adv. Manuf. Technol. 100(5–8), 2007–2020 (2018). https://doi.org/10.1007/s00170-018-2738-7

    Article  Google Scholar 

  9. Castagnetti, C., Duc, E., Ray, P.: The Domain of Admissible Orientation concept: a new method for five-axis tool path optimisation. Comput. Aided Des. 40(9), 938–950 (2008). https://doi.org/10.1016/j.cad.2008.07.002

    Article  Google Scholar 

  10. Hu, P., Tang, K.: Improving the dynamics of five-axis machining through optimization of workpiece setup and tool orientations. Comput. Aided Des. 43(12), 1693–1706 (2011). https://doi.org/10.1016/j.cad.2011.09.005

    Article  Google Scholar 

  11. Qin, J.-Y., Jia, Z.-Y., Ma, J.-W., Ren, Z.-J., Song, D.-N.: An efficient 5-axis toolpath optimization algorithm for machining parts with abrupt curvature. Proc. Inst. Mech. Eng. Part C-J. Mech. Eng. Sci. 231(9), 1609–1621 (2017). https://doi.org/10.1177/0954406215620824

    Article  Google Scholar 

  12. Gong, Z., Li, B., Zhang, H., Ye, P.: Tool orientation optimization method based on ruled surface using genetic algorithm. Int. J. Adv. Manuf. Technol. 118(1–2), 571–584 (2021). https://doi.org/10.1007/s00170-021-07934-2

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 51875312).

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Jianxin Xiao, Zhen Gong, Bingran Li & Hui Zhang

  2. Beijing Key Lab of Precision/Ultra-Precision Manufacturing Equipment and Control, Tsinghua University, Beijing, 100084, China

    Jianxin Xiao, Zhen Gong, Bingran Li & Hui Zhang

Authors
  1. Jianxin Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhen Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bingran Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hui Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jianxin Xiao .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  2. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  3. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  4. Harbin Institute of Technology, Harbin, China

    Li Jiang

  5. Shanghai Jiao Tong University, Shanghai, China

    Guoying Gu

  6. Shenzhen Institute of Advanced Technology, Shenzhen, China

    Xinyu Wu

  7. Harbin Institute of Technology, Shenzhen, China

    Weihong Ren

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xiao, J., Gong, Z., Li, B., Zhang, H. (2022). Research on Local Optimization Algorithm of 5-Axis CNC Machining Tool Axis Vector Based on Kinematic Constraints. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13455. Springer, Cham. https://doi.org/10.1007/978-3-031-13844-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-13844-7_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13843-0

  • Online ISBN: 978-3-031-13844-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation