Skip to main content
Log in

Modeling of surface topography based on cutting vibration in ball-end milling of thin-walled parts

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

Abstract

Because of the low rigidity of thin-walled parts, the cutting vibration is commonly encountered and has a vital influence on machined surface quality. Theoretical simulation of surface topography is one of the main methods to evaluate and control surface quality in practice. In this paper, a simulation model of surface topography is developed based on cutting edge motion model that incorporates the dynamics of thin-walled parts milling system. The theoretical model used to describe the trajectory of cutting edge takes tool vibration and workpiece vibration into account. Then, the influence of system vibration on surface topography is investigated. Particularly, a new method is proposed in this paper to predict the texture interval, texture distribution, and residual height for different milling areas by identifying the dynamic characteristics of thin-walled parts. In addition, the validity of surface topography model is conducted by experiment. The results show that the simulated topography is consistent with the experimental topography, and the model is proved to be able to predict roughness accurately.

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. Li ZL, Tuysuz O, Zhu LM, Altintas Y (2018) Surface form error prediction in five-axis flank milling of thin-walled parts. Int J Mach Tools Manuf 128:21–32

    Article  Google Scholar 

  2. Denkena B, Boess V, Nespor D, Floeter F, Rust F (2015) Engine blade regeneration: a literature review on common technologies in terms of machining. Int J Adv Manuf Technol 81(5–8):917–924

    Article  Google Scholar 

  3. Zhang Z, Li HG, Liu XB, Zhang WY, Meng G (2018) Chatter mitigation for the milling of thin-walled workpiece. Int J Mech Sci 138:262–271

    Article  Google Scholar 

  4. Butt MA, Yang YQ, Pei XZ, Liu Q (2018) Five-axis milling vibration attenuation of freeform thin-walled part by eddy current damping. Precis Eng 51:682–690

    Article  Google Scholar 

  5. Lu C (2008) Study on prediction of surface quality in machining process. J Mater Process Technol 205(1–3):439–450

    Article  Google Scholar 

  6. Benardos PG, Vosniakos GC (2003) Predicting surface roughness in machining: a review. Int J Mach Tools Manuf 43(8):833–844

    Article  Google Scholar 

  7. Quinsat Y, Lavernhe S, Lartigue C (2011) Characterization of 3D surface topography in 5-axis milling. Wear 271(3–4):590–595

    Article  Google Scholar 

  8. Peng ZX, Jiao L, Yan P, Yuan MX, Gao SF, Yi J, Wang XB (2018) Simulation and experimental study on 3D surface topography in micro-ball-end milling. Int J Adv Manuf Technol 96(5–8):1943–1958

    Article  Google Scholar 

  9. Buj-Corral I, Vivancos-Calvet J, Dominguez-Fernandez A (2012) Surface topography in ball-end milling processes as a function of feed per tooth and radial depth of cut. Int J Mach Tools Manuf 53(1):151–159

    Article  Google Scholar 

  10. Zhao K, Hockauf R, Liu ZB, Zhao WX, Wang XB, Wang DQ (2018) Kinematic and stochastic surface topography of workpiece made of Al7075 in flank milling. Int J Adv Manuf Technol 96(5–8):2735–2745

    Article  Google Scholar 

  11. Lazoglu I (2003) Sculpture surface machining: a generalized model of ball-end milling force system. Int J Mach Tools Manuf 43(5):453–462

    Article  Google Scholar 

  12. Zhang Q, Zhang S, Shi WH (2018) Modeling of surface topography based on relationship between feed per tooth and radial depth of cut in ball-end milling of AISI H13 steel. Int J Adv Manuf Technol 95(9–12):4199–4209

    Article  Google Scholar 

  13. Wang ZH, Yuan JT, Yin ZB, Hu XQ (2016) Surface topography and roughness of high-speed milled AlMn1Cu. Chin J Mech Eng 29(6):1200–1207

    Article  Google Scholar 

  14. Zhang C, Guo S, Zhang HY, Zhou LS (2013) Modeling and predicting for surface topography considering tool wear in milling process. J Adv Manuf Technol 68(9–12):2849–2860

    Article  Google Scholar 

  15. Omar OEEK, El-Wardany T, Ng E, Elbestawi MA (2007) An improved cutting force and surface topography prediction model in end milling. Int J Mach Tools Manuf 47(7–8):1263–1275

    Article  Google Scholar 

  16. Li B, Cao YL, Chen WH, Pan J (2017) Geometry simulation and evaluation of the surface topography in five-axis ball-end milling. Int J Adv Manuf Technol 93(5–8):1651–1667

    Google Scholar 

  17. Hao YS, Liu Y (2017) Analysis of milling surface roughness prediction for thin-walled parts with curved surface. Int J Adv Manuf Technol 93(5–8):2289–2297

    Article  Google Scholar 

  18. González H, Calleja A, Pereira O, Ortega N, de Lacalle LNL, Barton M (2018) Super abrasive machining of integral rotary components using grinding flank tools. Metals 8(1):833–844

    Article  Google Scholar 

  19. Peigne G, Paris H, Brissaud D, Gouskov A (2004) Impact of the cutting dynamics of small radial immersion milling operations on machined surface roughness. Int J Mach Tools Manuf 44(11):1133–1142

    Article  Google Scholar 

  20. Surmann T, Enk D (2007) Simulation of milling tool vibration trajectories along changing engagement conditions. Int J Mach Tools Manuf 47(9):1442–1448

    Article  Google Scholar 

  21. Surmann T, Biermann D (2008) The effect of tool vibrations on the flank surface created by peripheral milling. CIRP Ann Manuf Technol 57(1):375–378

    Article  Google Scholar 

  22. Jiang H, Long XH, Meng G (2008) Study of the correlation between surface generation and cutting vibrations in peripheral milling. J Mater Process Technol 208(1–3):229–238

    Article  Google Scholar 

  23. Liang XG, Yao ZG (2013) Dynamic-based simulation for machined surface topography in 5-axis ball-end milling. J Mech Eng 49(6):171–178

    Article  MathSciNet  Google Scholar 

  24. Liang XG, Yao ZG (2013) Study on milling stability with varying time delay in 5-axis ball-end finishing. Shanghai Jiao Tong University 2013:109–119

  25. Arizmendi M, Campa FJ, Fernandez J, de Lacalle LNL, Gil A, Bilbao E, Veiga F, Lamikiz A (2009) Model for surface topography prediction in peripheral milling considering tool vibration. CIRP Ann Manuf Technol 58(1):93–96

    Article  Google Scholar 

  26. Arizmendi M, Fernandez J, de Lacalle LNL, Lamikiz A, Gil A, Sanchez JA, Campa FJ, Veiga F (2008) Model development for the prediction of surface topography generated by ball-end mills taking into account the tool parallel axis offset. Experimental validation. CIRP Ann Manuf Technol 57(1):101–104

    Article  Google Scholar 

  27. Lee KY, Kang MC, Jeong YH, Lee DW, Kim JS (2001) Simulation of surface roughness and profile in high-speed end milling. J Mater Process Technol 113(1–3):410–415

    Article  Google Scholar 

  28. Peng FY, Wu J, Fang ZL, Yuan S, Yan R, Bai QS (2013) Modeling and controlling of surface micro-topography feature in micro-ball-end milling. J Adv Manuf Technol 67(9–12):2657–2670

    Article  Google Scholar 

  29. Peng FY, Fang ZL, Wu J (2012) Three-dimensional surface topography simulation of ultraprecision milling based on point cloud. Journal of Huazhong University of Science and Technology. Nature Science 40(8):1–6

    Google Scholar 

  30. Altintas Y, Lee P (1998) Mechanics and dynamics of ball end milling. J Manuf Sci Eng 120(4):684–692

    Article  Google Scholar 

  31. Engin S, Altintas Y (2001) Mechanics and dynamics of general milling cutters. Part I: helical end mills. Int J Mach Tools Manuf 41(15):2195–2212

    Article  Google Scholar 

  32. Gradisek J, Kalveram M, Weinert K (2004) Mechanistic identification of specific force coefficients for a general end mill. Int J Mach Tools Manuf 44(4):401–414

    Article  Google Scholar 

  33. Qu S, Zhao JB, Wang TR (2016) Three-dimensional stability prediction and chatter analysis in milling of thin-walled plate. J Adv Manuf Technol 86(5–8):2291–2300

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (No. 51775280 and No. 51675285), and the National Science and Technology Major Project (2013ZX04002-011).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhenhua Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Wang, B. & Yuan, J. Modeling of surface topography based on cutting vibration in ball-end milling of thin-walled parts. Int J Adv Manuf Technol 101, 1837–1854 (2019). https://doi.org/10.1007/s00170-018-3095-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-018-3095-2

Keywords

Navigation