Skip to main content
Log in

Material removal with constant depth in CNC laser milling based on adaptive control of laser fluence

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

Abstract

Computer numerical control CNC laser milling is an innovative technology to produce precision parts in micron and even nanometer scale. However, due to the restriction of dynamic performance of the machine tool, the preset feed rate cannot be reached immediately, and the actual feed rate is unpredictable when the part with rapidly varied geometric feature is machined. At this moment, the incident laser energy is still the default value, so the feed rate below the target value will cause excessive accumulation of laser fluence into the workpiece surface, eventually leading to an inhomogeneous milling depth and developing the excessive heat affect zone (HAZ). Aiming at the problem in CNC laser milling of the parts with rapidly varied geometric feature in this study, a method of real-time adaptive control of laser fluence according to actual feed rate was proposed. Firstly, a prediction model of laser milling depth was established. Then, based on the model and small amount of preliminary trials, laser fluence required at arbitrary feed rate was obtained to realize the material removal with constant depth. Furthermore, the adaptive control technology of laser fluence on the basis of actual feed rate was investigated. By monitoring the actual feed rate of the machine tool and regulating the laser fluence with it, the machining depth of the parts with rapidly varied geometric feature by CNC laser milling can remain constant. CNC laser milling experiments conducted in this paper demonstrate the feasibility and veracity of the adaptive control strategy.

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. Dubey A, Yadava V (2008) Laser beam machining—a review. Int J Mach Tool Manu 48(6):609–628

    Article  Google Scholar 

  2. Dubey A, Yadava V (2008) Experimental study of Nd: YAG laser beam machining-an overview. J Mater Process Tech 195(1):15–26

    Article  Google Scholar 

  3. Herzog D, Jaeschke P, Meier O, Haferkamp H (2008) Investigations on the thermal effect caused by laser cutting with respect to static strength of CFRP. Int J Mach Tool Manu 48(12):1464–1473

    Article  Google Scholar 

  4. Sharma A, Yadava V (2012) Modelling and optimization of cut quality during pulsed Nd: YAG laser cutting of thin Al-alloy sheet for straight profile. Opt Laser Technol 44(1):159–168

    Article  Google Scholar 

  5. Teixidor D, Ciurana J, Rodriguez C (2014) Dross formation and process parameters analysis of fibre laser cutting of stainless steel thin sheets. Int J Adv Manuf Tech 71(9–12):1611–1621

    Article  Google Scholar 

  6. Canel T, Kaya A, Çelik B (2012) Parameter optimization of nanosecond laser for microdrilling on PVC by Taguchi method. Opt Laser Technol 44(8):2347–2353

    Article  Google Scholar 

  7. Biswas R, Kuar A, Biswas S, Mitra S (2010) Characterization of hole circularity in pulsed Nd: YAG laser micro-drilling of TiN-Al2O3 composites. Int J Adv Manuf Tech 51(9–12):983–994

    Article  Google Scholar 

  8. Pastras G, Fysikopoulos A, Stavropoulos P, Chryssolouris G (2014) An approach to modelling evaporation pulsed laser drilling and its energy efficiency. Int J Adv Manuf Tech 72(9–12):1227–1241

    Article  Google Scholar 

  9. Leone C, Papa I, Tagliaferri F, Lopresto V (2013) Investigation of CFRP laser milling using a 30 W Q-switched Yb: YAG fiber laser: effect of process parameters on removal mechanisms and HAZ formation. Compos Part A-Appl S 55:129–142

    Article  Google Scholar 

  10. Tseng S, Chen M, Hsiao W, Huang C, Yang C, Chen Y (2014) Laser micromilling of convex microfluidic channels onto glassy carbon for glass molding dies. Opt Laser Eng 57:58–63

    Article  Google Scholar 

  11. Vorobyev A, Guo C (2010) Metallic light absorbers produced by femtosecond laser pulses. Adv Mech Eng 452749

  12. Liu H, Shen Z, Wang X, Wang H, Tao M (2010) Numerical simulation and experimentation of a novel micro scale laser high speed punching. Int J Mach Tool Manu 50(5):491–494

    Article  Google Scholar 

  13. Bordatchev E, Hafiz A, Tutunea-Fatan O (2014) Performance of laser polishing in finishing of metallic surfaces. Int J Adv Manuf Tech 73(1–4):35–52

    Article  Google Scholar 

  14. Shin H, Choi H, Kim S (2010) Hybrid (LASER + CNC) process for lubricant groove on linear guides. Int J Adv Manuf Tech 46(9–12):1001–1008

    Article  Google Scholar 

  15. Cuccolini G, Orazi L, Fortunato A (2013) 5 Axes computer aided laser milling. Opt Laser Eng 51(6):749–760

    Article  Google Scholar 

  16. Dong J, Wang T, Li B, Ding Y (2014) Smooth feedrate planning for continuous short line tool path with contour error constraint. Int J Mach Tool Manu 76:1–12

    Article  Google Scholar 

  17. Meijer J (2004) Laser beam machining (LBM), state of the art and new opportunities. J Mater Process Tech 149(1):2–17

    Article  MathSciNet  Google Scholar 

  18. Liu G, Toncich D, Harvey E, Yuan F (2005) Diagnostic technique for laser micromachining of multi-layer thin films. Int J Mach Tool Manu 45(4):583–589

    Article  Google Scholar 

  19. Chang G, Tu Y (2012) Closed-loop control in ultrafast laser milling process using laser triggered plasma. Int J Mach Tool Manu 60:35–39

    Article  Google Scholar 

  20. Campanelli S, Casalino G, Ludovico A, Bonserio C (2013) An artificial neural network approach for the control of the laser milling process. Int J Adv Manuf Tech 66(9–12):1777–1784

    Article  Google Scholar 

  21. Bi G, Gasser A, Wissenbach K, Drenker A, Poprawe R (2006) Characterization of the process control for the direct laser metallic powder deposition. Surf Coat Tech 201(6):2676–2683

    Article  Google Scholar 

  22. Makhanov S (2010) Adaptable geometric patterns for five-axis machining: a survey. Int J Adv Manuf Tech 47(9–12):1167–1208

    Article  Google Scholar 

  23. Yung W, Liu J, Man H, Yue T (2000) 355 nm Nd: YAG laser ablation of polyimide and its thermal effect. J Mater Process Tech 101(1):306–311

    Article  Google Scholar 

  24. Shin B, Oh J, Sohn H (2007) Theoretical and experimental investigations into laser ablation of polyimide and copper films with 355-nm Nd: YVO4 laser. J Mater Process Tech 187:260–263

    Article  Google Scholar 

  25. Clair G, L’Hermite D (2011) 1D modelling of nanosecond laser ablation of copper samples in argon at P = 1 atm with a wavelength of 532 nm. J Appl Phys 110(8):083307

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kai Zhao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, K., Jia, Z., Liu, W. et al. Material removal with constant depth in CNC laser milling based on adaptive control of laser fluence. Int J Adv Manuf Technol 77, 797–806 (2015). https://doi.org/10.1007/s00170-014-6481-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-014-6481-4

Keywords

Navigation