Skip to main content
Log in

Study on the construction mechanism of stability lobes in milling process with multiple modes

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

Abstract

The stability of milling process dominated by multiple modes was traditionally predicted in the time domain by only selecting the most flexible mode. This paper theoretically studies the construction mechanism of stability lobes by simultaneously considering all dominant modes and provides an efficient method to predict stability lobes of milling systems with multiple modes in the time domain. It is theoretically proved that the effective stability lobes of milling system with multiple modes is made up of the lowest envelop of the stability lobes achieved with each single mode; hence, lowest envelop method (LEM) is established to predict the ultimate stability lobe by taking the lowest envelop of a group of stability lobes, which are calculated by separately considering different dominant modes composing the overall dynamic compliance. Typical advantage of LEM lies in that the computation time and the memory usage required in stability prediction can be greatly reduced for time domain solution. Moreover, the accuracy of prediction can be increased, when the effects of multiple modes are taken into account instead of considering only the most flexible mode. Formulation of the dynamic milling process with multiple modes is derived in semi-discrete time domain by including the effects of multiple delays. A series of simulations and experiments demonstrate the high efficiency and validity of LEM.

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.

Similar content being viewed by others

References

  1. Altintas Y (2012) Manufacturing automation, 2nd edn. Cambridge University Press, UK

    Google Scholar 

  2. Tobias SA (1965) Machine tool vibration. Blackie and Sons Ltd, New York

    Google Scholar 

  3. Altintas Y, Budak E (1995) Analytical prediction of stability lobes in milling. Trans ASME J Eng Ind 44:357–362

    Google Scholar 

  4. Bravo U, Altuzarra O, Lacalle LNL, Sanchez JA, Campa FJ (2005) Stability limits of milling considering the flexibility of the workpiece and the machine. Int J Mach Tools Manuf 45(15):1669–1680

    Article  Google Scholar 

  5. Wang MH, Gao L, Zheng YH (2014) Prediction of regenerative chatter in the high-speed vertical milling of thin-walled workpiece made of titanium alloy. Int J Adv Manuf Technol 72:707–716

    Article  Google Scholar 

  6. Tang AJ, Liu ZQ (2009) Three-dimensional stability lobe and maximum material removal rate in end milling of thin-walled plate. Int J Adv Manuf Technol 43:33–39

    Article  Google Scholar 

  7. Budak E, Altintas Y (1998) Analytical prediction of chatter stability in milling—part I: general formulation. Trans ASME J Dyn Syst Meas Control 120(1):22–30

    Article  Google Scholar 

  8. Mann BP, Bayly PV, Davies MA, Halley JE (2004) Limit cycles, bifurcations, and accuracy of the milling process. J Sound Vib 277(1–2):31–48

    Article  Google Scholar 

  9. Insperger T, Stepan G (2004) Updated semi-discretization method for periodic delay-differential equations with discrete delay. Int J Numer Methods Eng 61:117–141

    Article  MathSciNet  MATH  Google Scholar 

  10. Wan M, Zhang WH, Dang JW, Yang Y (2010) A unified stability prediction method for milling process with multiple delays. Int J Mach Tools Manuf 50(1):29–41

    Article  Google Scholar 

  11. Wan M, Altintas Y (2014) Mechanics and dynamic of thread milling process. Int J Mach Tools Manuf 87:16–26

    Article  Google Scholar 

  12. Wan M, Kilic ZM, Altintas Y (2015) Mechanics and dynamics of multi-functional tools. Trans ASME J Manuf Sci Eng 137(1):011019

    Article  Google Scholar 

  13. Eksioglu C, Kilic ZM, Altintas Y (2012) Discrete-time prediction of chatter stability, cutting forces, and surface location errors in flexible milling system. Trans ASME J Manuf Sci Eng 134(6):061006

    Article  Google Scholar 

  14. Ahmadi K, Ismail F (2011) Analytical and stability lobes including nonlinear process damping effect on machining chatter. Int J Mach Tools Manufacture 51(4):296–308

    Article  Google Scholar 

  15. Seguy S, Insperger T, Arnaud L (2010) On the stability of high-speed milling with spindle speed variation. Int J Adv Manuf Technol 48:883–895

    Article  Google Scholar 

  16. Ding Y, Zhu LM, Zhang XJ, Ding H (2010) A full-discretization method for prediction of milling stability. Int J Mach Tools Manuf 50:502–509

    Article  Google Scholar 

  17. Guo Q, Sun YW, Jiang Y (2012) On the accurate calculation of milling stability limits using third-order full-discretization method. Int J Mach Tools Manuf 62:61–66

    Article  Google Scholar 

  18. Liang XG, Yao ZQ, Luo L, Hu J (2013) An improved numerical integration method for predicting milling stability with varying time delay. Int J Adv Manuf Technol 68:1967–1976

    Article  Google Scholar 

  19. Butcher EA, Ma H, Bueler E, Averina V (2004) Stability of time-periodic delay-differential equations via Chebyshev polynomials. Int J Numer Methods Eng 59(7):895–992

    Article  MathSciNet  MATH  Google Scholar 

  20. Afazov SM, Ratchev SM, Segal J, Popov AA (2012) Chatter modelling in micro-milling by considering process nonlinearities. Int J Mach Tools Manuf 56:28–38

    Article  Google Scholar 

  21. Seguy S, Dessein G, Arnaud L (2008) Surface roughness variation of thin wall milling, related to modal interactions. Int J Mach Tools Manuf 48(3–4):261–274

    Article  Google Scholar 

  22. Mann BP, Young KA, Schmitz TL, Dilley DN (2005) Simultaneous stability and surface location error predictions in milling. Trans ASME J Manuf Sci Eng 127(3):446–453

    Article  Google Scholar 

  23. Grakisek J, Kalveram M, Insperger T, Weinert K, Stepan G, Govekar E, Grabec I (2005) On stability prediction for milling. Int J Mach Tools Manuf 45:769–781

    Article  Google Scholar 

  24. Schmitz TL, Smith KS (2008) Machining dynamics. Springer, New York

    Google Scholar 

  25. Lakshmikantham V, Trigiante D (1988) Theory of difference equation. Numerical methods and applications. Academic, London

    Google Scholar 

  26. Kolmanovskii VB, Nosov VR (1986) Stability of functional differential equations. Academic, London

    MATH  Google Scholar 

  27. Altintas Y, Kilic ZM (2013) Generalized dynamic model of cutting operations. CIRP Annals-Manuf Technol 62:47–50

    Article  Google Scholar 

  28. Zhao MX, Balachandran B (2001) Dynamic and stability of milling process. Int J Solid Struct 38:2233–2248

    Article  MATH  Google Scholar 

  29. Cifuentes ED, Garcia HP, Villasenor MG, Idoipe AV (2010) Dynamic analysis of runout correction in milling. Int J Mach Tools Manuf 50:709–717

    Article  Google Scholar 

  30. Li Z, Liu Q, Ming X, Wang X, Dong Y (2014) Cutting force prediction and analytical solution of regenerative chatter stability for helical milling operation. Int J Adv Manuf Technol 73:433–442

    Article  Google Scholar 

  31. Altintas Y, Stepan G, Merdol D (2008) Chatter stability of milling in frequency and discrete time domain. CIRP J Manuf Sci Technol 1:35–44

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Wan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wan, M., Ma, YC., Zhang, WH. et al. Study on the construction mechanism of stability lobes in milling process with multiple modes. Int J Adv Manuf Technol 79, 589–603 (2015). https://doi.org/10.1007/s00170-015-6829-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-6829-4

Keywords

Navigation