Skip to main content
Log in

An implicit exponentially fitted method for chatter stability prediction of milling processes

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

Abstract

Chatter stability prediction is an important technique for obtaining chatter-free cutting parameters to enhance product quality and achieve better cutting performance. Based on the exponential fitting multistep algorithms and Fibonacci search, this paper presents an implicit exponentially fitted method to efficiently and accurately determine the chatter stability limits. The dynamic model with consideration of the regeneration effect for milling processes can be expressed as delay-differential equations (DDEs) with time-periodic coefficients. The tooth-passing period can be subdivided into two distinct phases according to whether the cutting tool is contacting the machined parts. On the basis that the forced vibration phase can be discretized into time intervals of identical duration, a three-step implicit exponentially fitted method is developed to estimate the state term. Subsequently, the milling stability boundary can be obtained by using the Fibonacci search to substitute traditional sequential search, which can remarkably reduce the computational time. The effectiveness of the implicit exponentially fitted method is validated through making comparisons with the other two benchmark methods. Simulation results indicate that the implicit exponentially fitted method exhibits excellent accuracy and efficiency. Furthermore, the experimental verification was performed to further demonstrate the availability and validity of the implicit exponentially fitted method. On this basis, we extend the implicit exponentially fitted method to the variable pitch cutters case. Furthermore, a benchmark example is provided to evaluate the feasibility of the extended implicit exponentially fitted method. The results indicate that the implicit exponentially fitted method can achieve significantly better computational efficiency and 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

Similar content being viewed by others

References

  1. Tao JF, Qin CJ, Xiao DY, Shi HT, Ling X, Li BC, Liu CL (2019) Timely chatter identification for robotic drilling using a local maximum synchrosqueezing-based method. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-019-01509-5

  2. Quintana G, Ciurana J (2011) Chatter in machining processes: a review. Int J Mach Tools Manuf 51(5):363–376

    Google Scholar 

  3. Tao JF, Qin CJ, Xiao DY, Shi HT, Liu CL (2019) A pre-generated matrix-based method for real-time robotic drilling chatter monitoring. Chinese Journal of Aeronautics. https://doi.org/10.1016/j.cja.2019.09.001

    Google Scholar 

  4. Qin CJ, Tao JF, Liu CL (2018) A predictor-corrector-based holistic-discretization method for accurate and efficient milling stability analysis. Int J Adv Manuf Technol 96(5–8):2043–2054

    Google Scholar 

  5. Altintas Y, Budak E (1995) Analytical prediction of stability lobes in milling. CIRP Ann 44(1):357–362

    Google Scholar 

  6. Merdol SD, Altintas Y (2004) Multi frequency solution of chatter stability for low immersion milling. J Manuf Sci Eng 126(3):459–466

    Google Scholar 

  7. Bayly PV, Mann BP, Schmitz TL, Peters DA, Stepan G, Insperger T (2002) Effects of radial immersion and cutting direction on chatter instability in end-milling. In: proceedings of the international mechanical engineers conference and exposition. New Orleans, Paper No.IMECE2002–39116

  8. Yan Z, Liu Z, Wang X, Liu B, Luo Z and Wang D (2016) Stability prediction of thin-walled workpiece made of Al7075 in milling based on shifted Chebyshev polynomials. Int J Adv Manuf Technol 87(14):115124

    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(1):117–141

    MathSciNet  MATH  Google Scholar 

  10. Insperger T, Stepan G, Turi J (2008) On the higher-order semi-discretizations for periodic delayed systems. J Sound Vib 313(1–2):334–341

    Google Scholar 

  11. Insperger T (2010) Full-discretization and semi-discretization for milling stability prediction: some comments. Int J Mach Tools Manuf 50(7):658–662

    MathSciNet  Google Scholar 

  12. Balachandran B (2001) Nonlinear dynamics of milling processes. Philos Trans R Soc A 359(1781):793–819

    MATH  Google Scholar 

  13. Long X, Balachandran B (2007) Stability analysis for milling process. Nonlinear Dyn 49(3):349–359

    MATH  Google Scholar 

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

    Google Scholar 

  15. Jin G, Qi HJ, Cai YJ, Zhang QC (2016) Stability prediction for milling process with multiple delays using an improved semi-discretization method. Math Methods Appl Sci 39(4):949–958

    MathSciNet  MATH  Google Scholar 

  16. Jiang SL, Sun YW, Yuan XL, Liu WR (2017) A second-order semi-discretization method for the efficient and accurate stability prediction of milling process. Int J Adv Manuf Technol 92(1–4):583–595

    Google Scholar 

  17. Ding Y, Zhu LM, Zhang XJ, Ding H (2010) A full-discretization method for prediction of milling stability. Int J Mach Tools Manuf 50(5):502–509

    Google Scholar 

  18. Zhang XJ, Xiong CH, Ding Y (2010) Improved full-discretization method for milling chatter stability prediction with multiple delays. Lect Notes Comput Sci 6425:541–552

    Google Scholar 

  19. Ding Y, Zhu LM, Zhang XJ, Ding H (2010) Second-order full-discretization method for milling stability prediction. Int J Mach Tools Manuf 50(10):926–932

    Google Scholar 

  20. Quo 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

    Google Scholar 

  21. Guo Q, Sun YW, Jiang Y, Guo DM (2014) Prediction of stability limit for multi-regenerative chatter in high performance milling. Int J Dyn Control 2(1):35–45

    Google Scholar 

  22. Ozoegwu CG, Omenyi SN, Ofochebe SM (2015) Hyper-third order full-discretization methods in milling stability prediction. Int J Mach Tools Manuf 92:1–9

    Google Scholar 

  23. Li MZ, Zhang GJ, Huang Y (2013) Complete discretization scheme for milling stability prediction. Nonlinear Dyn 71(1–2):187–199

    MathSciNet  Google Scholar 

  24. Xie QZ (2016) Milling stability prediction using an improved complete discretization method. Int J Adv Manuf Technol 83(5–8):815–821

    Google Scholar 

  25. Li ZQ, Yang ZK, Peng YR, Zhu F, Ming XZ (2016) Prediction of chatter stability for milling process using Runge-Kutta-based complete discretization method. Int J Adv Manuf Technol 86(1–4):943–952

    Google Scholar 

  26. Niu JB, Ding Y, Zhu LM, Ding H (2014) Runge–Kutta methods for a semi-analytical prediction of milling stability. Nonlinear Dyn 76(1):289–304

    MathSciNet  MATH  Google Scholar 

  27. Dai Y, Li H, Xing X, Hao B (2018) Prediction of chatter stability for milling process using precise integration method. Precis Eng 52:152–157

    Google Scholar 

  28. Dai Y, Li H, Hao B (2018) An improved full-discretization method for chatter stability prediction. Int J Adv Manuf Technol 96(9–12):3503–3510

    Google Scholar 

  29. Li H, Dai Y, Fan Z (2019) Improved precise integration method for chatter stability prediction of two-DOF milling system. Int J Adv Manuf Technol 101(5–8):1235–1246

    Google Scholar 

  30. Ding Y, Zhu LM, Zhang XJ, Ding H (2011) Numerical integration method for prediction of milling stability. J Manuf Sci Eng 133(3):031005

    Google Scholar 

  31. Ding Y, Niu JB, Zhu LM, Ding H (2015) Numerical integration method for stability analysis of milling with variable spindle speeds. ASME J Vib Acoust 138(1)

  32. Zhang XJ, Xiong CH, Ding Y, Xiong YL (2011) Variable-step integration method for milling chatter stability prediction with multiple delays. Sci China 54:3137–3154

    MATH  Google Scholar 

  33. 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

    Google Scholar 

  34. Ding Y, Zhu LM, Zhang XJ, Ding H (2013) Stability analysis of milling via the differential quadrature method. J Manuf Sci Eng 135(4):044502

    Google Scholar 

  35. Ding Y, Niu JB, Zhu LM, Ding H (2015) Differential quadrature method for stability analysis of dynamic systems with multiple delays: application to simultaneous machining operations. J Vib Acoust 137(2):024501

    Google Scholar 

  36. Zhang Z, Li HG, Meng G, Liu C (2015) A novel approach for the prediction of the milling stability based on the Simpson method. Int J Mach Tools Manuf 99:43–47

    Google Scholar 

  37. Qin CJ, Tao JF, Li L, Liu CL (2017) An Adams-Moulton-based method for stability prediction of milling processes. Int J Adv Manuf Technol 89(9–12):3049–3058

    Google Scholar 

  38. Qin CJ, Tao JF, Liu CL (2017) Stability analysis for milling operations using an Adams-Simpson-based method. Int J Adv Manuf Technol 92(1–4):969–979

    Google Scholar 

  39. Tao JF, Qin CJ, Liu CL (2017) Milling stability prediction with multiple delays via the extended Adams-Moulton-based method. Math Probl Eng 2017:1–15

    MathSciNet  MATH  Google Scholar 

  40. Tang X, Peng F, Yan R, Gong Y, Li Y, Jiang L (2017) Accurate and efficient prediction of milling stability with updated full discretization method. Int J Adv Manuf Technol 88(9–12):2357–2368

    Google Scholar 

  41. Yan Z, Wang X, Liu Z, Wang D, Jiao L, Ji Y (2017) Third-order updated full-discretization method for milling stability prediction. Int J Adv Manuf Technol 92(5–8):2299–2309

    Google Scholar 

  42. Tang C, Yan HQ, Zhang H, Chen ZQ, Liu M, Zhang GM (2005) The arbitrary order implicit multistep schemes of exponential fitting and their applications. J Comput Appl Math 173(1):155–168

    MathSciNet  MATH  Google Scholar 

  43. Tang C, Wang WP, Yan HQ, Chen ZQ (2006) High-order predictor corrector of exponential fitting for the N-body problems. J Comput Phys 214(2):505–520

    MathSciNet  MATH  Google Scholar 

  44. Gradisek 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(7–8):769–781

    Google Scholar 

  45. Altintas Y, Engin S, Budak E (1999) Analytical stability prediction and design of variable pitch cutters. J Manuf Sci Eng 121(2):173–178

    Google Scholar 

Download references

Funding

This work was partially supported by the National Natural Science Foundation of China (Grant No. 51775277), the Alliance Research of Hunan Province and Hengyang City through Grant No. (Grant No. 2018JJ4031), Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province and Hengyang Science and Technology Guidance Project Grant No. (Grant No. 2017KJ161).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yi Wu.

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

Wu, Y., You, Y., Liu, A. et al. An implicit exponentially fitted method for chatter stability prediction of milling processes. Int J Adv Manuf Technol 106, 2189–2204 (2020). https://doi.org/10.1007/s00170-019-04722-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-019-04722-x

Keywords

Navigation