Skip to main content
Log in

Model for the prediction of 3D surface topography and surface roughness in micro-milling Inconel 718

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

Abstract

Nickel-based superalloy Inconel 718 retains high strength at high temperature, which meets the requirements of micro-parts in the fields of aerospace, energy, and power. However, Inconel 718 is a kind of difficult-to-machine material. During the micro-milling process, scale effect, multiple regenerative effect, and dynamic response all affect its surface roughness, causing the prediction of surface roughness of micro-milled parts difficult. To solve this problem, we study the predictive modeling of surface roughness of micro-milled Inconel 718. Based on the previously built instantaneous cutting thickness model, cutting force model, and the dynamic characteristics of micro-milling system, the authors establish a flexible deformation model of micro-milling cutter generated by cutting force. Since the machined surface is generated by duplicating the tool profile on the workpiece surface, and based on the actual cutting trajectory as well as flexible deformation of micro-milling cutter, the authors build the surface topography simulation model to predict surface roughness and conduct experiments to verify the accuracy of the model. The research realizes the prediction of surface roughness of micro-milled Inconel 718 parts and partially reveals the machining mechanism of micro-milling.

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. 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):410–415

    Article  Google Scholar 

  2. 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):1263–1275

    Article  Google Scholar 

  3. Arizmendi M, Campa FJ, Fernández J, de Lacalle LL, Gil A, Bilbao E, 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 

  4. Montgomery D, Altintas Y (1991) Mechanism of cutting force and surface generation in dynamic milling. J Eng Ind 113(2):160–168

    Article  Google Scholar 

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

    Article  Google Scholar 

  6. Chen JC, Savage M (2001) A fuzzy-net-based multilevel in-process surface roughness recognition system in milling operations. Int J Adv Manuf Technol 17(9):670–676

    Article  Google Scholar 

  7. Ding H, Chen SJ, Cheng K (2011) Dynamic surface generation modeling of two-dimensional vibration-assisted micro-end-milling. Int J Adv Manuf Technol 53(9):1075–1079

    Article  Google Scholar 

  8. Wei LF (2008) Surface topography prediction and simulation of optical parts in ultra-precision milling. Doctor Thesis. Dissertation, Huazhong University of Science and Technology. In Chinese

  9. Li CF (2008) Study on force and surface topography modeling and process optimization of meso-scale end-milling. Doctor Thesis. Dissertation, Shanghai Jiao Tong University. In Chinese

  10. Kouravand S, Imani BM (2014) Developing a surface roughness model for end-milling of Micro-Channel. Mach Sci Technol 18(2):299–321

    Article  Google Scholar 

  11. Ren CY (2008) Analysis on surface topography generation in micro-milling. Manuf Technol Mach Tool (1):36–39. In Chinese

  12. Li RB, Zhang ZH, Li JG (2000) Prediction of 3D surface topography in ultra- precision machining. China Mech Eng 11(8):845–848 In Chinese

    Google Scholar 

  13. Luo XC, Cheng K, Ward R (2005) The effects of machining process variables and tooling characterization on the surface generation. Int J Adv Manuf Technol 25(11):1089–1097

    Article  Google Scholar 

  14. Zhou L (2009) Dynamic micro/nano cutting system modeling for prediction and analysis of surface topography. Doctor Thesis. Dissertation, Harbin Institute of Technology. In Chinese

  15. Duan YK (2006) The model and analysis of micro structure surface in ultra precision turning. Doctor Thesis. Dissertation, Harbin Institute of Technology. In Chinese

  16. Shi WT (2011) Micro cutting technology. China Machine Press, Beijing In Chinese

    Google Scholar 

  17. Lu XH, Jia ZY, Wang FR, Li GJ, Si LK, Gao LS (2016) Model of the instantaneous undeformed chip thickness in micro-milling based on tooth trajectory. Proc Inst Mech Eng B J Eng Manuf. https://doi.org/10.1177/0954405416639890

  18. Lu XH, Jia ZY, Wang XX, Li GJ, Ren ZJ (2015) Three-dimensional dynamic cutting forces prediction model during micro-milling nickel-based superalloy. Int J Adv Manuf Technol 81(9–12):2067–2086

    Article  Google Scholar 

  19. Lu XH, Jia ZY, Wang H, Wang XX, Si LK, Gao LS (2016) Stability analysis for micro-milling nickel-based superalloy process. Int J Adv Manuf Technol 86(9–12):2503–2515

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaohong Lu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, X., Hu, X., Jia, Z. et al. Model for the prediction of 3D surface topography and surface roughness in micro-milling Inconel 718. Int J Adv Manuf Technol 94, 2043–2056 (2018). https://doi.org/10.1007/s00170-017-1001-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-017-1001-y

Keywords

Navigation