Skip to main content
Log in

Multi-axis ball-end milling force prediction model considering the influence of cutting edge

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

Abstract

Precise prediction of milling force is a crucial issue in multi-axis milling, which is important for evaluating the tool life and surface quality. In this paper, an improved force model for ball-end milling is proposed based on a novel uncut chip thickness (UCT) model as well as the consideration of edge effect and size effect. The computational model of UCT takes into account the influence of lead and tilt angles in ball-end milling. In addition, it utilizes a new discretization method of the uncut chip area that ensures the local cutting edge is perpendicular to the length of the elemental uncut chip area, making it more compatible with the classical oblique cutting model. For each elemental cutting edge, the force components are calculated through a purely analytical approach, considering the shear force, edge force, and size effect caused by cutting edge geometry in milling process. The proposed model is comprehensively validated with both FEM and multi-axis milling experiments for aluminum and titanium. The results indicate that the proposed model can predict the dynamic milling force under various cutting conditions in a good manner. Moreover, considering edge and size effects can further improve the prediction accuracy.

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
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Abbreviations

a p :

Depth of cut

f z :

Feed per tooth

R :

Tool radius

N :

Teeth number of the ball-end mill cutter

ψ ji :

Position angle of the element i of the jth cutting edge

κ :

Position angle between OPi and zT axis

κ s :

Starting angle of the axial contact angle

κ e :

Ending angle of the axial contact angle

κ m :

Boundary angle of the cutting area

dF t, dF r, dF a :

Tangential, radial, and axial components of cutting force

K tc, K rc, K ac :

Cutting force coefficients in tangential, radial, and axial directions

K te, K re, K ae :

Edge force coefficients in tangential, radial, and axial directions

θ :

Rotation angle of the spindle

i 0, i i :

Nominal helix angle and local helix angle

ϕ p :

Pitch angle between adjacent teeth

ϕ st, ϕ ex :

Cut-in angle and cut-out angle

φ i :

Lag angle of each cutting edge element

λ i s :

Edge inclination angle of the cutting edge element

α i n :

Normal rake angle of the cutting edge element

α i r :

Radial rake angle of the cutting edge element

dS :

Length of cutting edge element

db :

Chip width

h n :

Uncut chip thickness

α, γ :

Lead angle and tilt angle

τ i s :

Shear stress of the cutting edge element

ϕ i n :

Normal shear angle of the cutting edge element

β i n :

Normal friction angle of the cutting edge element

η i  c, η i  e, η i  s :

Chip flow angle, equivalent plane angle, and shear flow angle of the cutting edge element

V :

Cutting velocity

V c :

Chip flow velocity

ε, ̇ε, ̇ε 0, ̇ε m :

Shear strain, shear strain rate, reference shear strain rate, and maximum shear strain rate

T, T r, T m :

Material temperature, room temperature, and melting temperature

A, B, C, n, m :

Yield strength, hardening modulus, strain rate sensitivity coefficient, hardening exponent, and thermal softening index

ρ, c :

Material density and heat capacity

μ :

Taylor-Quinney coefficient

References

  1. Hou J, Zhao Z, Fu Y, Qian N (2021) Machining stability enhancement in multi-axis milling of titanium hollow blade by introducing multiple damping and rigid supporters. J Manuf Process 64:198–208. https://doi.org/10.1016/j.jmapro.2021.01.016

    Article  Google Scholar 

  2. Shi DM, Huang T, Zhang XM, Zhao S (2021) Real-time monitoring of depth of cut in the multi-axis milling process with ball-end cutter. Procedia CIRP 102:287–292. https://doi.org/10.1016/j.procir.2021.09.049

    Article  Google Scholar 

  3. Wojciechowski S, Wiackiewicz M, Krolczyk GM (2018) Study on metrological relations between instant tool displacements and surface roughness during precise ball end milling. Measurement 129:686–694. https://doi.org/10.1016/j.measurement.2018.07.058

    Article  Google Scholar 

  4. Qin S, Hao Y, Zhu L, Wiercigroch M, Yuan Z, Shi C, Cui D (2023) CWE identification and cutting force prediction in ball-end milling process. Int J Mech Sci 239:107863. https://doi.org/10.1016/j.ijmecsci.2022.107863

    Article  Google Scholar 

  5. Debnath S, Reddy MM, Yi QS (2014) Environmental friendly cutting fluids and cooling techniques in machining: a review. J Clean Prod 83:33–47. https://doi.org/10.1016/j.jclepro.2014.07.071

    Article  Google Scholar 

  6. Farhadmanesh M, Ahmadi K (2021) Online identification of mechanistic milling force models. Mech Syst Signal Pr 149:107318. https://doi.org/10.1016/j.ymssp.2020.107318

    Article  Google Scholar 

  7. Ozkirimli O, Tunc LT, Budak E (2016) Generalized model for dynamics and stability of multi-axis milling with complex tool geometries. J Mater Process Tech 238:446–458. https://doi.org/10.1016/j.jmatprotec.2016.07.020

    Article  Google Scholar 

  8. Hourmand M, Sarhan AAD, Sayuti M, Hamdi M (2021) A comprehensive review on machining of titanium alloys. Arab J Sci Eng 46:7087–7123. https://doi.org/10.1007/s13369-021-05420-1

    Article  Google Scholar 

  9. Kline WA, DeVor RE, Lindberg JR (1982) The prediction of cutting forces in end milling with application to cornering cuts. Int J Mach Tool Desg Res 22:7–22. https://doi.org/10.1016/0020-7357(82)90016-6

    Article  Google Scholar 

  10. Huang W, Li X, Wang B, Chen J, Zhou J (2016) An analytical index relating cutting force to axial depth of cut for cylindrical end mills. Int J Mach Tool Manu 111:63–67. https://doi.org/10.1016/j.ijmachtools.2016.10.003

    Article  Google Scholar 

  11. Okafor AC, Sultan AA (2016) Development of a mechanistic cutting force model for wavy-edge bull-nose helical end-milling of inconel 718 under emulsion cooling strategy. Appl Math Model 40:2637–2660. https://doi.org/10.1016/j.apm.2015.09.040

    Article  Google Scholar 

  12. Budak E, Altintas¸ Y, Armarego EJA (1996) Prediction of milling force coefficients from orthogonal cutting data. J Manuf Sci Eng 118:216–224. https://doi.org/10.1115/1.2831014

    Article  Google Scholar 

  13. Wan M, Zhang WH, Qin GH, Tan G (2007) Efficient calibration of instantaneous cutting force coefficients and runout parameters for general end mills. Int J Mach Tool Manu 47:1767–1776. https://doi.org/10.1016/j.ijmachtools.2006.06.012

    Article  Google Scholar 

  14. Wojciechowski S, Matuszak M, Powałka B, Madajewski M, Maruda RW, Królczyk GM (2019) Prediction of cutting forces during micro end milling considering chip thickness accumulation. Int J Mach Tool Manu 147:103466. https://doi.org/10.1016/j.ijmachtools.2019.103466

    Article  Google Scholar 

  15. Abdelmoneim ME, Scrutton RF (1974) Tool edge roundness and stable build-up formation in finish machining. J Manuf Sci Eng 96:1258–1267. https://doi.org/10.1115/1.3438504

    Article  Google Scholar 

  16. Lee P, Altintaş Y (1996) Prediction of ball-end milling forces from orthogonal cutting data. Int J Mach Tool Manu 36:1059–1072. https://doi.org/10.1016/0890-6955(95)00081-X

    Article  Google Scholar 

  17. Wojciechowski S, Maruda RW, Nieslony P, Krolczyk GM (2016) Investigation on the edge forces in ball end milling of inclined surfaces. Int J Mech Sci 119:360–369. https://doi.org/10.1016/j.ijmecsci.2016.10.034

    Article  Google Scholar 

  18. Weng J, Saelzer J, Berger S, Zhuang K, Bagherzadeh A, Budak E, Biermann D (2023) Analytical and experimental investigations of rake face temperature considering temperature-dependent thermal properties. J Mater Process Tech 117905. https://doi.org/10.1016/j.jmatprotec.2023.117905

  19. Fang F, Xu F, Lai M (2015) Size effect in material removal by cutting at nano scale. Int J Adv Manuf Tech 80:591–598. https://doi.org/10.1007/s00170-015-7032-3

    Article  Google Scholar 

  20. Baburaj M, Ghosh A, Shunmugam MS (2018) Development and experimental validation of a mechanistic model of cutting forces in micro-ball end milling of full slots. Mach Sci Technol 22:787–810. https://doi.org/10.1080/10910344.2017.1415932

    Article  Google Scholar 

  21. Weng J, Zhuang K, Zhu D, Guo S, Ding H (2018) An analytical model for the prediction of force distribution of round insert considering edge effect and size effect. Int J Mech Sci 138–139:86–98. https://doi.org/10.1016/j.ijmecsci.2018.01.024

    Article  Google Scholar 

  22. Hu C, Zhuang K, Weng J, Pu D (2019) Three-dimensional analytical modeling of cutting temperature for round insert considering semi-infinite boundary and non-uniform heat partition. Int J Mech Sci 155:536–553. https://doi.org/10.1016/j.ijmecsci.2019.03.019

    Article  Google Scholar 

  23. Fontaine M, Moufki A, Devillez A, Dudzinski D (2007) Modelling of cutting forces in ball-end milling with tool–surface inclination: part I: predictive force model and experimental validation. J Mater Process Tech 189:73–84. https://doi.org/10.1016/j.jmatprotec.2007.01.006

    Article  Google Scholar 

  24. Ferry WB, Altintas Y (2008) Virtual five-axis flank milling of jet engine impellers—part I: mechanics of five-axis flank milling. J Manuf Sci Eng 130. https://doi.org/10.1115/1.2815761

  25. Huang T, Zhang X, Ding H (2013) Decoupled chip thickness calculation model for cutting force prediction in five-axis ball-end milling. Int J Adv Manuf Tech 69:1203–1217. https://doi.org/10.1007/s00170-013-5099-2

    Article  Google Scholar 

  26. Weng J, Liu Y, Zhuang K, Xu D, M’Saoubi R, Hrechuk A, Zhou J (2021) An analytical method for continuously predicting mechanics and residual stress in fillet surface turning. J Manuf Process 68:1860–1879. https://doi.org/10.1016/j.jmapro.2021.07.004

    Article  Google Scholar 

  27. Sahoo P, Patra K (2021) Cumulative reduction of friction and size effects in micro milling through proper selection of coating thickness of TiAlN coated tool: experimental and analytical assessments. J Manuf Process 67:635–654. https://doi.org/10.1016/j.jmapro.2021.05.037

    Article  Google Scholar 

  28. Aramcharoen A, Mativenga PT (2009) Size effect and tool geometry in micromilling of tool steel. Precis Eng 33:402–407. https://doi.org/10.1016/j.precisioneng.2008.11.002

    Article  Google Scholar 

  29. Woon KS, Rahman M, Neo KS, Liu K (2008) The effect of tool edge radius on the contact phenomenon of tool-based micromachining. Int J Mach Tool Manu 48(12–13):1395–1407. https://doi.org/10.1016/j.ijmachtools.2008.05.001

    Article  Google Scholar 

  30. de Oliveira FB, Rodrigues AR, Coelho RT, de Souza AF (2015) Size effect and minimum chip thickness in micromilling. Int J Mach Tool Manu 89:39–54. https://doi.org/10.1016/j.ijmachtools.2014.11.001

    Article  Google Scholar 

  31. Joshi SS, Melkote SN (2005) An explanation for the size-effect in machining using strain gradient plasticity. J Manuf Sci Eng 126:679–684. https://doi.org/10.1115/1.1688375

    Article  Google Scholar 

  32. Lai X, Li H, Li C, Lin Z, Ni J (2008) Modelling and analysis of micro scale milling considering size effect, micro cutter edge radius and minimum chip thickness. Int J Mach Tool Manu 48:1–14. https://doi.org/10.1016/j.ijmachtools.2007.08.011

    Article  Google Scholar 

  33. Srinivasa YV, Shunmugam MS (2013) Mechanistic model for prediction of cutting forces in micro end-milling and experimental comparison. Int J Mach Tool Manu 67:18–27. https://doi.org/10.1016/j.ijmachtools.2012.12.004

    Article  Google Scholar 

  34. Lamikiz A, López de Lacalle LN, Sánchez JA, Salgado MA (2004) Cutting force estimation in sculptured surface milling. Int J Mach Tool Manu 44:1511–1526. https://doi.org/10.1016/j.ijmachtools.2004.05.004

    Article  Google Scholar 

  35. Li B, Wang X, Hu Y, Li C (2011) Analytical prediction of cutting forces in orthogonal cutting using unequal division shear-zone model. Int J Adv Manuf Tech 54:431–443. https://doi.org/10.1007/s00170-010-2940-8

    Article  Google Scholar 

  36. Ozturk E, Tunc LT, Budak E (2009) Investigation of lead and tilt angle effects in 5-axis ball-end milling processes. Int J Mach Tool Manu 49:1053–1062. https://doi.org/10.1016/j.ijmachtools.2009.07.013

    Article  Google Scholar 

  37. Altintas YA, Ber AAR (2001) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Appl Mech Rev 54:B84–B84. https://doi.org/10.1115/1.1399383

    Article  Google Scholar 

  38. Dudzinski D, Molinari A (1997) A modelling of cutting for viscoplastic materials. Int J Mech Sci 39:369–389. https://doi.org/10.1016/S0020-7403(96)00043-4

    Article  MATH  Google Scholar 

  39. Zhuang K, Weng J, Zhu D, Ding H (2018) Analytical modeling and experimental validation of cutting forces considering edge effects and size effects with round chamfered ceramic tools. J Manuf Sci Eng 140. https://doi.org/10.1115/1.4040087

  40. Wan M, Wen DY, Ma YC, Zhang WH (2019) On material separation and cutting force prediction in micro milling through involving the effect of dead metal zone. Int J Mach Tool Manu 146:103452. https://doi.org/10.1016/j.ijmachtools.2019.103452

    Article  Google Scholar 

  41. Zhou L, Peng FY, Yan R, Yao PF, Yang CC, Li B (2015) Analytical modeling and experimental validation of micro end-milling cutting forces considering edge radius and material strengthening effects. Int J Mach Tool Manu 97:29–41. https://doi.org/10.1016/j.ijmachtools.2015.07.001

    Article  Google Scholar 

  42. Komanduri R, Hou ZB (2000) Thermal modeling of the metal cutting process: part I — temperature rise distribution due to shear plane heat source. Int J Mech Sci 42:1715–1752. https://doi.org/10.1016/S0020-7403(99)00070-3

    Article  MATH  Google Scholar 

  43. Li B, Zhang S, Du J, Sun Y (2022) State-of-the-art in cutting performance and surface integrity considering tool edge micro-geometry in metal cutting process. J Manuf Process 77:380–411. https://doi.org/10.1016/j.jmapro.2022.03.037

    Article  Google Scholar 

  44. Ghandehariun A, Kishawy H, Balazinski M (2016) On machining modeling of metal matrix composites: a novel comprehensive constitutive equation. Int J Mech Sci 107:235–241. https://doi.org/10.1016/j.ijmecsci.2016.01.020

    Article  Google Scholar 

Download references

Funding

This work was financially supported by the National Natural Science Foundation of China (52175482) and the Guangdong Major Project of Basic and Applied Basic Research (2021B0301030001).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jian Weng or Zhongmei Gao.

Ethics declarations

Ethics approval

Not applicable.

Consent to participate

All the authors listed have participated in the preparation of the manuscript and the related experiments.

Consent for publication

This manuscript is approved by all the authors for publication. It is the original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.

Conflict of interest

The authors declare 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

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhuang, K., Yang, Y., Dai, X. et al. Multi-axis ball-end milling force prediction model considering the influence of cutting edge. Int J Adv Manuf Technol 128, 357–371 (2023). https://doi.org/10.1007/s00170-023-11890-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-11890-4

Keywords

Navigation