Skip to main content
Log in

Input-shaping-based improvement in the machining precision of laser micromachining systems

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

Abstract

Laser machining is widely used in micro/nanomachining owing to its noncontact nature, environmental friendliness, high level of automation, and short process time. Notably, for micro/nanomachining, the precisions of both the laser and optical systems and motion control systems are crucial. Typically, residual vibrations generated during the motion of machine parts reduce precision at the micro/nanoscales. The input-shaping method is simple and effective for reducing such residual vibrations. Hence, traditional input-shaping methods are primarily used in flexible systems, such as cranes, robots, and motion systems. This is because a flexible system has a low rigidity, damping ratio, and natural frequency; thus, its residual vibration is higher than that of a high-rigidity motion system. In this study, residual vibrations were reduced by applying the input-shaping method to a high-rigidity motion system for precision laser machining. A modified zero-vibration (ZV) shaper was used to apply input shaping to the high natural frequency of a high-rigidity motion system. The modified ZV shaper was evaluated, and its residual vibration suppression performance was confirmed based on its application to a flexible system. Furthermore, errors caused by accelerations in corner machining were quantified, and residual vibrations were suppressed via the application of the modified ZV shaper.

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. Temmler A, Willenborg E, Wissenbach K (2012) Laser polishing. Laser Applications in Microelectronic and Optoelectronic Manufacturing XVII, 82430W

  2. Yang L, Wei J, Ma Z, Song P, Ma J, Zhao Y, Huang Z, Zhang M, Yang F, Wang X (2019) The fabrication of micro/nano structures by laser machining. Nanomaterials 9(12):1789

    Article  Google Scholar 

  3. žemaitis A, Gaidys M, Gečys P, Račiukaitis G, Gedvilas M (2019) Rapid high-quality 3D micro-machining by optimised efficient ultrashort laser ablation. Opt Lasers Eng 114:83

    Article  Google Scholar 

  4. Chen TH, Fardel R, Arnold CB (2018) Ultrafast z-scanning for high-efficiency laser micro-machining. Light: Sci Applic 7(4):17181

    Article  Google Scholar 

  5. Xie X, Zhou C, Wei X, Hu W, Ren Q et al (2019) Laser machining of transparent brittle materials: from machining strategies to applications. Opto Electro Adv 2(1):180017

    Google Scholar 

  6. Dou J, Sun Y, Xu M, Cui J, Mei X, Wang W, Wang X (2019) Process research on micro-machining diamond microgroove by femtosecond laser. Integr Ferroelectr 198(1):9

    Article  Google Scholar 

  7. Xing Y, Liu L, Hao X, Wu Z, Huang P, Wang X (2018) Micro-channels machining on polycrystalline diamond by nanosecond laser. Opt Laser Technol 108:333

    Article  Google Scholar 

  8. Wang X, Liu B, Mei X, Yang J, Yun X, Li X, Li J (2020) A novel method to reduce the laser drilling time for hole cluster considering the influence of residual vibration of the sample stage, Shock and Vibration vol 2020

  9. Ham SS, Lee H (2020) Development of method enhanced laser ablation efficiency according to fine curvature of the polymer through the preliminary preparation process using UV picosecond laser. Polymers 12 (4):959

    Article  Google Scholar 

  10. Batal A, Michalek A, Penchev P, Kupisiewicz A, Dimov S (2020) Laser processing of freeform surfaces: a new approach based on an efficient workpiece partitioning strategy. Int J Mach Tools Manuf 156:103593

    Article  Google Scholar 

  11. Michalek A, Batal A, Qi S (2020) Modelling ultrafast laser structuring/texturing of freeform surfaces. Appl Surf Sci Adv 2:100036

    Article  Google Scholar 

  12. Ding D, Zhao Z, Huang R, Dai C, Zhang X, Xu T, Fu Y (2021) Error modeling and path planning for freeform surfaces by laser triangulation on-machine measurement. IEEE Trans Instrum Meas 70:1

    Google Scholar 

  13. Liu X, Li Y, Li Q (2018) A region-based 3 + 2-axis machining toolpath generation method for freeform surface. Int J Adv Manuf Technol 97(1):1149

    Article  Google Scholar 

  14. Sun Y, Chen M, Jia J, Lee YS, Guo D (2019) Jerk-limited feedrate scheduling and optimization for five-axis machining using new piecewise linear programming approach. Sci China Technol Sci 62 (7):1067

    Article  Google Scholar 

  15. Hong SW (2014) Input shaping method for mechanical vibration control. Chaos Book, Seoul

  16. Singhose WE, Seering WP, Singer NC (1996) Input shaping for vibration reduction with specified insensitivity to modeling errors. Japan-USA Sym on Flexible Automation 1:307

    Google Scholar 

  17. Singhose W, Seering W (2011) Command generation for dynamic systems (William Singhose)

  18. Sim JU, Choi PK, Kwon SW, Hong SW (2022) Improved input shaping method for circular interpolation of a 2-axis positioning system. J Korean Soc Precis Eng 39(4):283

    Article  Google Scholar 

  19. Newman D, Hong SW, Vaughan JE (2018) The design of input shapers which eliminate nonzero initial conditions. J Dyn Sys Meas Control 140(10):1–9

    Article  Google Scholar 

  20. Singh T, Singhose W (2002) Input shaping/time delay control of maneuvering flexible structures. In: Proceedings of the 2002 American Control Conference 3:1717–1731

  21. Singhose W, Eloundou R, Lawrence J (2010) Command generation for flexible systems by input shaping and command smoothing. J Guid Control Dyn 33(6):1697

    Article  Google Scholar 

  22. Sung YG, Singhose W (2009) Robustness analysis of input shaping commands for two-mode flexible systems. IET Control Theory Appl 3(6):722

    Article  MathSciNet  Google Scholar 

  23. Tzes A, Yurkovich S (1993) An adaptive input shaping control scheme for vibration suppression in slewing flexible structures. IEEE Trans Control Syst Technol 1(2):114

    Article  Google Scholar 

  24. Seong-Wook Hong SWH, Park S-W (2008) Input shaping for vibration in precise positioning system. J Korean Soc Precis Eng 25(4):26

    Google Scholar 

  25. Byung-Gyu Kim SWH (2009) Input shaper design for tower crane in consideration of nonlinear coupled motions. J Korean Soc Precis Eng 26(9):88

    Google Scholar 

  26. Park SW, Hong S (2011) Application of input shaping method to industrial cranes. J Korean Soc Precis Eng 28(9):1032–1039

    Google Scholar 

  27. Okwudire CE, Lee J (2013) Minimization of the residual vibrations of ultra-precision manufacturing machines via optimal placement of vibration isolators. Precis Eng 37(2):425

    Article  Google Scholar 

  28. Aggogeri F, Merlo A, Pellegrini N (2021) Active vibration control development in ultra-precision machining. J Vib Control 27(7–8):790

    Article  Google Scholar 

  29. Wang L, Li J, Yang Y, Wang J, Yuan J (2019) Active control of low-frequency vibrations in ultra-precision machining with blended infinite and zero stiffness. Int J Mach Tools Manuf 139:64

    Article  Google Scholar 

  30. Mori K, Kono D, Yamaji I, Matsubara A (2017) Modelling of viscoelastic damper support for reduction in low frequency residual vibration in machine tools. Precis Eng 50:313

    Article  Google Scholar 

  31. Singer NC, Seering WP (1990) Preshaping command inputs to reduce system vibration. J Dyn Sys Meas Control 112(1):76–82

    Article  Google Scholar 

Download references

Funding

This work was supported by INHA UNIVERSITY Research Grant. This paper was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (P0020612, HRD Program for Industrial Innovation).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hyun-Taek Lee.

Ethics declarations

Ethics approval

This paper is new. Neither the entire paper nor any part of its content has been published or has been accepted elsewhere. It is not being submitted to any other journal as well.

Data availability

The manuscript has no associated data or the data will not be deposited.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommonsh.org/licenses/by/4.0/.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lim, DW., Hong, SW., Ha, SJ. et al. Input-shaping-based improvement in the machining precision of laser micromachining systems. Int J Adv Manuf Technol 125, 4415–4424 (2023). https://doi.org/10.1007/s00170-023-10869-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-10869-5

Keywords

Navigation