Skip to main content
Log in

A general method for instantaneous undeformed chip thickness calculation in five-axis milling based on Boolean operations

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Instantaneous undeformed chip thickness (IUCT) plays a critical role in optimizing and monitoring of five-axis milling processes, as it determines machining precision and tool life by affecting cutting forces. Analytical and numerical methods have been widely used for IUCT calculation. However, these methods have some deficiencies, such as solving the unsolvable transcendental equations, modeling the complex cutting edge trajectory, and poor adaptability for five-axis milling. Therefore, a Boolean method which consists of subtraction and intersection operations is developed. First, the blank for the current cutting edge is obtained by the Boolean subtraction operation between the workpiece and the swept volume that produced by the front cutting edges. Second, the Boolean intersection operation is executed between the blank and the auxiliary edge entity (AEE) that corresponding to the tool edge. Then, the IUCT of each cutting edge or each cutting point can be deduced based on the Boolean result with the known blank geometry, tool geometry, tool path, and machining parameters. The method is verified by milling force experiments. It is an efficient, accurate, and general method because it does not need to establish complex mathematical or numerical models. The calculated IUCT will promote the optimizing and monitoring of five-axis milling processes.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

All data generated or analyzed during this study were available by emailing to author. (liguochaolaile@126.com).

References

  1. Zhu K, Zhang Y (2017) Modeling of the instantaneous milling force per tooth with tool run-out effect in high speed ball-end milling. Int J Mach Tool Manu 118-119:37–48. https://doi.org/10.1016/j.ijmachtools.2017.04.001

    Article  Google Scholar 

  2. Sonawane HA, Joshi SS (2010) Analytical modeling of chip geometry and cutting forces in helical ball end milling of superalloy Inconel 718. CIRP J Manuf Sci Tec 3:204–217. https://doi.org/10.1016/j.cirpj.2010.11.003

    Article  Google Scholar 

  3. Sonawane HA, Joshi SS (2015) Analytical Modeling of Chip Geometry in High-Speed Ball-End Milling on Inclined Inconel-718 Workpieces. J Manuf Sci E-T ASME 137. https://doi.org/10.1115/1.4028635

  4. Zhang X, Pan X, Wang G (2019) A new method for determining the instantaneous uncut chip thickness in micro-milling. Int J Adv Manuf Technol 102:3791–3800. https://doi.org/10.1007/s00170-019-03475-x

    Article  Google Scholar 

  5. Dongming G, Fei R, Yuwen S (2010) An approach to modeling cutting forces in five-axis ball-end milling of curved geometries based on tool motion analysis. J Manuf Sci E-T ASME 132. https://doi.org/10.1115/1.4001420

  6. Liang X, Yao Z (2011) An accuracy algorithm for chip thickness modeling in five-axis ball-end finish milling. Comput Aided Design 43:971–978. https://doi.org/10.1016/j.cad.2011.04.012

    Article  Google Scholar 

  7. Grossi N, Sallese L, Scippa A, Campatelli G (2015) Speed-varying cutting force coefficient identification in milling. Precis Eng 42:321–334. https://doi.org/10.1016/j.precisioneng.2015.04.006

    Article  Google Scholar 

  8. Zhou Y, Tian Y, Jing X, Ehmann KF (2017) A novel instantaneous uncut chip thickness model for mechanistic cutting force model in micro-end-milling. Int J Adv Manuf Technol 93:2305–2319. https://doi.org/10.1007/s00170-017-0638-x

    Article  Google Scholar 

  9. Tang X, Zhu Z, Yan R, Chen C, Peng F, Zhang M, Li Y (2018) Stability Prediction Based Effect Analysis of Tool Orientation on Machining Efficiency for Five-Axis Bull-Nose End Milling. J Manuf Sci E-T ASME 140. https://doi.org/10.1115/1.4041426

  10. Sai L, Belguith R, Baili M, Dessein G, Bouzid W (2018) An approach to modeling the chip thickness and cutter workpiece engagement region in 3 and 5 axis ball end milling. J Manuf Process 34:7–17. https://doi.org/10.1016/j.jmapro.2018.05.018

    Article  Google Scholar 

  11. Zhang X, Zhang J, Zheng X, Pang B, Zhao W (2017) Tool orientation optimization of five-axis ball-end milling based on an accurate cutter/workpiece engagement model. CIRP J Manuf Sci Tec 19:106–116. https://doi.org/10.1016/j.cirpj.2017.06.003

    Article  Google Scholar 

  12. Zhu Z, Peng F, Yan R, Song K, Li Z, Duan X (2018) High efficiency simulation of five-axis cutting force based on the symbolically solvable cutting contact boundary model. Int J Adv Manuf Technol 94:2435–2455. https://doi.org/10.1007/s00170-017-1000-z

    Article  Google Scholar 

  13. Yang Y, Zhang W, Wan M, Ma Y (2013) A solid trimming method to extract cutter–workpiece engagement maps for multi-axis milling. Int J Adv Manuf Technol 68:2801–2813. https://doi.org/10.1007/s00170-013-4876-2

    Article  Google Scholar 

  14. Erdim H, Sullivan A (2013) Cutter Workpiece Engagement Calculations for Five-axis Milling Using Composite Adaptively Sampled Distance Fields. Procedia CIRP 8:438–443. https://doi.org/10.1016/j.procir.2013.06.130

    Article  Google Scholar 

  15. Gong X, Feng H (2016) Cutter-workpiece engagement determination for general milling using triangle mesh modeling. J Comput Des Eng 3:151–160. https://doi.org/10.1016/j.jcde.2015.12.001

    Article  Google Scholar 

  16. Wei ZC, Guo ML, Wang MJ, Li SQ, Liu SX (2018) Force predictive model for five-axis ball end milling of sculptured surface. Int J Adv Manuf Technol 98:1367–1377. https://doi.org/10.1007/s00170-018-2125-4

    Article  Google Scholar 

  17. Li HZ, Liu K, Li XP (2001) A new method for determining the undeformed chip thickness in milling. J Mater Process Technol 113:378–384. https://doi.org/10.1016/S0924-0136(01)00586-6

    Article  Google Scholar 

  18. Song G, Li J, Sun J (2013) Approach for modeling accurate undeformed chip thickness in milling operation. Int J Adv Manuf Technol 68:1429–1439. https://doi.org/10.1007/s00170-013-4932-y

    Article  Google Scholar 

  19. Kang YH, Zheng CM (2013) Mathematical modelling of chip thickness in micro-end- milling: A Fourier modelling. Appl Math Model 37:4208–4223. https://doi.org/10.1016/j.apm.2012.09.011

    Article  Google Scholar 

  20. Guo Q, Zhao B, Jiang Y, Zhao W (2018) Cutting force modeling for non-uniform helix tools based on compensated chip thickness in five-axis flank milling process. Precis Eng 51:659–681. https://doi.org/10.1016/j.precisioneng.2017.11.009

    Article  Google Scholar 

  21. Sun Y, Ren F, Guo D, Jia Z (2009) Estimation and experimental validation of cutting forces in ball-end milling of sculptured surfaces. Int J Mach Tool Manu 49:1238–1244. https://doi.org/10.1016/j.ijmachtools.2009.07.015

    Article  Google Scholar 

  22. Zhu Z, Yan R, Peng F, Duan X, Zhou L, Song K, Guo C (2016) Parametric chip thickness model based cutting forces estimation considering cutter runout of five-axis general end milling. Int J Mach Tool Manu 101:35–51. https://doi.org/10.1016/j.ijmachtools.2015.11.001

    Article  Google Scholar 

  23. Wei ZC, Wang MJ, Zhu JN, Gu LY (2011) Cutting force prediction in ball end milling of sculptured surface with Z-level contouring tool path. Int J Mach Tool Manu 51:428–432. https://doi.org/10.1016/j.ijmachtools.2011.01.011

    Article  Google Scholar 

  24. Wei ZC, Wang MJ, Cai YJ, Wang SF (2013) Prediction of cutting force in ball-end milling of sculptured surface using improved Z-map. Int J Adv Manuf Technol 68:1167–1177. https://doi.org/10.1007/s00170-013-4909-x

    Article  Google Scholar 

  25. Lu Y, Ding Y, Zhu L (2017) Dynamics and Stability Prediction of Five-Axis Flat-End Milling. J Manuf Sci E-T ASME 139. https://doi.org/10.1115/1.4035422

Download references

Funding

This study was supported by the National Natural Science Foundation of China (No. 51605207) and the Natural Science Foundation of Jiangsu Province of China (No. BK20160563)

Author information

Authors and Affiliations

Authors

Contributions

Guochao Li built the Boolean method which consists of subtraction and intersection operations to calculate the IUCT, and was a major contributor in writing the manuscript. Yunlong Liu realized the procedure by applying NX 8.0 secondary development technology. Donghao Zhao and Lei Dai carried out the milling force experiments. Honggen Zhou and Xuwen Jing helped to read and approve the final manuscript.

Corresponding author

Correspondence to Guochao Li.

Ethics declarations

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, G., Liu, Y., Zhao, D. et al. A general method for instantaneous undeformed chip thickness calculation in five-axis milling based on Boolean operations. Int J Adv Manuf Technol 116, 2325–2334 (2021). https://doi.org/10.1007/s00170-021-07576-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-021-07576-4

Keywords

Navigation