Skip to main content
Log in

An experimental and finite element investigation of chip separation criteria in metal cutting process

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

Abstract

Chip separation is an important issue in finite element method (FEM)-based simulation of the cutting process owing to its significant impact on the predicted chip formation, as well as on the temperature and stress distributions. Typically, the chip separation criteria and the arbitrary Lagrangian–Eulerian (ALE) method have been utilized in chip formation simulations. This study aimed to evaluate the chip separation criterion and the ALE method in terms of chip formation, cutting force, cutting temperature, and stress distribution. Particularly, the effective plastic strain criterion and the failure-zone-assisted and ALE methods were utilized to model the orthogonal cutting of Inconel 718 alloy. Furthermore, experimentations were performed, and the results of FEM predictions were compared with the experimentally measured results. In general, ALE method was more consistent with the experiment. The ESPC method does not seem to handle chip shape and cutting temperature well, while the FZA method may not be suitable for predicting surface stress due to the deformation and failure of the material concentrated in the fail assist area.

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

Similar content being viewed by others

Availability of data and materials

Not applicable.

Abbreviations

FE:

finite element

\( \overset{\frown }{\theta } \) :

nondimensional temperature

D 1~D 5 :

material-dependent fracture constants

\( \Delta {\overline{\varepsilon}}^{pl} \) :

equivalent plastic strain increment

\( {{\overline{\varepsilon}}_0}^{pl} \) :

initial equivalent plastic strain

v f :

feed rate (mm/rev)

doc :

depth of cut (mm)

h :

equivalent undeformed chip height

l′ :

equivalent undeformed chip length

σ :

flow stress

ε pl :

equivalent plastic strain

ε 0 :

strain rate parameter

ε pl :

equivalent plastic strain rate

ε f pl :

Equivalent failure plastic strain

ε el :

elastic strain

η :

η at infinite sliding velocity

η 0 :

η at low sliding velocity

η:

non-plastic heat generation rate

γ :

sensitivity to the sliding velocity

q :

sensitivity to the temperature

k:

heat conduction coefficient

\( \partial {\overline{\varepsilon}}^{pl} \) :

effective plastic strain increment

v c :

cutting speed

θ :

current temperature

θ t :

transition temperature

θ m :

melting temperature

A :

JC material parameters

B :

JC material parameters

C :

JC material parameters

n :

JC material parameters

m :

JC material parameters

\( {\overrightarrow{F}}_T \) :

tangential force

\( {\overrightarrow{F}}_N \) :

normal force

η :

friction coefficient

\( \overset{\frown }{T} \) :

temperature parameter

η :

friction coefficient

D 1 ~D 5 :

failure parameters

k :

shear friction factor

ρ :

density (g/mm3)

ΔT :

temperature increment

ρ :

density (g/mm3)

\( \overline{\sigma} \) :

effective stress

C p :

specific heat

References

  1. Shaw MC (2005) Metal cutting principles, Second published. Oxford University Press, Oxford, UK 404-405

  2. Hibbitt K, Karlsson BI, Sorenson P (2002) ABAQUS/explicit user’s manual, ver. 6.3, HSK Inc, Providence, RI, USA

  3. O¨Zel T, Zeren E (2007) Finite element modeling the influence of edge roundness on the stress and temperature fields induced by high-speed machining. Int J Adv Manuf Technol 35(3):255–267

    Article  Google Scholar 

  4. Johnson GK, Cook WH (1983) A constitutive model and data for metals subjected to large strains large strain rates and high temperatures. in The 7th International Symposium on Ballistics, Hague, Netherlands

  5. Haglund AJ, Kishawy HA, Rogers RJ (2008) An exploration of friction models for the chip-tool interface using an arbitrary Lagrangian-Eulerian finite element model. Wear 265:452–460

    Article  Google Scholar 

  6. Barge M, Hamdi H, Rech J, Bergheau J-M (2005) Numerical modelling of orthogonal cutting: influence of numerical parameters. J Mater Process Technol 164-165:1148–1153

    Article  Google Scholar 

  7. Ortiz-de-Zarate G, Sela A, Ducobu F, Saez-de-Buruaga M, Soler D, Childs THC (2019) Evaluation of different flow stress laws coupled with a physical based ductile failure criterion for the modeling of the chip formation process of Ti-6Al-4V under broaching conditions. Procedia CIRP 82:65–70

    Article  Google Scholar 

  8. Tiffe M, Saelzer J, Zabel A (2019) Analysis of mechanisms for chip formation simulation of hardened steel. Procedia CIRP 82:71–76

    Article  Google Scholar 

  9. Li BX, Zhang S, Zhang Q, Li LL (2019) Simulated and experimental analysis on serrated chip formation for hard milling process. J Manuf Process 44:337–348

    Article  Google Scholar 

  10. Du M, Cheng Z, Wang SS (2019) Finite element modeling of friction at the tool-chip-workpiece interface in high speed machining of Ti6Al4V. Int J Mech Sci 163:105–118

    Article  Google Scholar 

  11. Huang DP, Christian W, Peter W (2019) Modelling of serrated chip formation processes using the stabilized optimal transportation meshfree method. Int J Mech Sci 155:323–333

    Article  Google Scholar 

  12. Chen G, Lu L, Ke ZH, Qin XD, Ren CZ (2019) Influence of constitutive models on finite element simulation of chip formation in orthogonal cutting of Ti-6Al-4V alloy. Procedia Manufacturing 33:530–537

    Article  Google Scholar 

  13. Hortig C, Svendsen B (2007) Simulation of chip formation during high-speed cutting. J Mater Process Technol 186:66–76

    Article  Google Scholar 

  14. Zhang LC (1999) On the separation criteria in the simulation of orthogonal metal cutting using the finite element method. J Mater Process Technol 186:273–276

    Article  Google Scholar 

  15. Rosa PAR, Kolednik O, Martins PAF, Atkins AG (2007) The transient beginning to machining and the transition to steady-state cutting. Int J Mach Tool Manu 47:1904–1915

    Article  Google Scholar 

  16. Rosa PAR, Martins PAF, Atkins AG (2007) Revisiting the fundamentals of metal cutting by means of finite elements and ductile fracture mechanics. Int J Mach Tool Manu 47:607–617

    Article  Google Scholar 

  17. Saez-de-Buruaga M, Esnaola JA, Aristimuno P, Soler D, Björk T, Arrazola PJ (2017) A coupled Eulerian Lagrangian model to predict fundamental rocess variables and wear rate on ferrite-pearlite steels. Procedia CIRP 58:251–256

    Article  Google Scholar 

  18. Arrazola PJ, O¨zel T (2010) Investigations on the effects of friction modeling in finite element simulation of machining. Int J Mech Sci 52:31–42

    Article  Google Scholar 

  19. Ducobu F, Riviere-Lorphevre E, Galindo-Fernandez M, Ayvar-Soberanis S, Arrazola PJ, Ghadbeigi H (2019) Coupled Eulerian-Lagrangian (CEL) simulation for modeling of chip formation in AA2024-T3. Procedia CIRP 82:142–147

    Article  Google Scholar 

  20. Issa M, Labergere C, Saanouni K, Rassineux A (2012) Numerical prediction of thermomechanical field localization in orthogonal cutting. CIRP J Manuf Sci Technol 5:175–195

    Article  Google Scholar 

  21. Zhang YC, Outeiro JC, Mabrouki T (2015) On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting. Procedia CIRP 31:112–117

    Article  Google Scholar 

  22. Yameogo D, Haddag B, Makich H, Nouari M (2017) Prediction of the cutting forces and chip morphology when machining the Ti6Al4V alloy using a microstructural coupled model. Procedia CIRP 58:335–340

    Article  Google Scholar 

  23. Courbon C, Mabrouki T, Rech J, Mazuyer D, Perrard F, D’Eramo E (2013) Towards a physical FE modelling of a dry cutting operation: influence of dynamic recrystallization when machining AISI 1045. Procedia CIRP 8:516–521

    Article  Google Scholar 

  24. Nasr MNA, Ng EG, Elbestawi MA (2007) Modelling the effects of tool edge radius on residual stresses when orthogonal cutting AISI 316L. Int J Mach Tools Manuf 47(2):401–411

    Article  Google Scholar 

  25. Ozel T, Llanos I, Soriano J, Arrazola P-J (2011) 3D finite element modeling of chip formation process for machining Inconel 718: comparison of FE software predictions. Mach Sci Technol 15:21–46

    Article  Google Scholar 

  26. Sievert R, Noack D (2007) Simulation of thermal softening, damage and chip segmentation in a nickel super-alloy. H.K. Tonshoff, F. Hollmann (Eds.). Wiley-VCH, ISBN 527:66–76

    Google Scholar 

  27. Hamed E, Hamed A, Seyed MR (2021) Study on surface integrity and material removal mechanism in eco-friendly grinding of Inconel 718 using numerical and experimental investigations. Int J Adv Manuf Technol 112:1797–1818

    Article  Google Scholar 

Download references

Funding

This work is supported by the National Natural Science Foundation of China (no. 50935001), the Important National Science & Technology Specific Projects (2009ZX04014-041), and the National Basic Research Program of China (2010CB731703).

Author information

Authors and Affiliations

Authors

Contributions

Dr. Li determined the research method and experimental scheme of the paper, completed most of the finite element simulation works, and completed the writing of the paper. Master student Huang was responsible for most of the cutting experiments. Professor Liu guided the finite element simulation work of this paper. Dr. An mainly participated in the cutting simulation work of this paper, and Professor Chen provided the funding and platform for the research work of this paper.

Corresponding author

Correspondence to Gang Liu.

Ethics declarations

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Competing interests

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, J., Huang, Z., Liu, G. et al. An experimental and finite element investigation of chip separation criteria in metal cutting process. Int J Adv Manuf Technol 116, 3877–3889 (2021). https://doi.org/10.1007/s00170-021-07461-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-021-07461-0

Keywords

Navigation