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New linkage control methods based on the trajectory distribution of galvanometer and mechanical servo system for large-range high-feedrate laser processing

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Abstract

In this paper, a new laser linkage processing method based on trajectory distribution of galvanometer and mechanical servo system is proposed to achieve large-range high-feedrate laser processing. The proposed method can effectively improve the processing range, accuracy, and efficiency. Firstly, according to the processing trajectory characteristics of the galvanometer and mechanical servo system, a trajectory distribution filter algorithm is designed to reasonably distribute the interpolated trajectory to the equipment. Then, two linkage processing methods are designed based on off-line trajectory and real-time trajectory distribution. Moreover, an experimental platform consisting of the laser, galvanometer, and mechanical servo system is built, and experiments are performed on experimental equipment to verify these methods. Finally, the experimental data is collected at different processing feedrates, and the processing errors of two linkage processing methods and mechanical servo system processing are calculated and compared. The processing accuracy and effect of linkage processing are effectively improved. In addition, the processing effect of real-time trajectory distribution is also improved compared to the off-line trajectory distribution, which is simpler and easier to implement. These methods have been successfully applied to the large-scale high-feedrate laser processing equipment in the laboratory.

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References

  1. Gao S, Huang H (2017) Recent advances in micro- and nano-processing technologies. Front Mech Eng 12(1):18–32. https://doi.org/10.1007/s11465-017-0410-9

    Article  MathSciNet  Google Scholar 

  2. Li W, Zhang G, Chen L, Huang Y, Rong Y, Gao Z (2021) Dimethicone-aided laser cutting of solar rolled glass. Front Mech Eng 16:111–121. https://doi.org/10.1007/s11465-020-0615-1

    Article  Google Scholar 

  3. Rong Y, Huang Y, Lin C, Liu Y, Shi S, Zhang G, Wu C (2020) Stretchability improvement of flexiable electronics by laser micro-drilling array holes in PDMS film. Opt Lasers Eng 134:106307. https://doi.org/10.1016/j.optlaseng.2020.106307

    Article  Google Scholar 

  4. Krishnan A, Fang F (2019) Review on mechanism and process of surface polishing using lasers. Front Mech Eng 14(3):299–319. https://doi.org/10.1007/s11465-019-0535-0

    Article  Google Scholar 

  5. Zheng P, Wang H, Sang Z, Zhong RY, Liu Y, Liu C, Mubarok K, Yu S, Xu X (2018) Smart manufacturing systems for Industry 4.0: conceptual framework, scenarios, and future perspectives. Front Mech Eng 13(2):137–150. https://doi.org/10.1007/s11465-018-0499-5

    Article  Google Scholar 

  6. Li W, Huang Y, Rong Y, Chen L, Zhang G, Gao Z (2021) Analysis and comparison of laser cutting performance of solar float glass with different scanning modes. Front Mech Eng 16(1):97–110. https://doi.org/10.1007/s11465-020-0600-8

    Article  Google Scholar 

  7. Chuang C, Chen K, Chiu T, Yang T, Lin M (2020) Crafting interior holes on chemically strengthened thin glass based on ultrafast laser ablation and thermo-shock crack propagations-ScienceDirect. Sensors Actuators A: Phys 301(1):111723. https://doi.org/10.1016/j.sna.2019.111723

    Article  Google Scholar 

  8. Xiang YF, Mei RL, Azad F, Zhao LZ, Su SC, Lu GG, Wang SP (2022) Investigation by nanosecond fiber laser for hybrid color marking and its potential application. Opt Laser Technol 147:107553. https://doi.org/10.1016/j.optlastec.2021.107553

    Article  Google Scholar 

  9. Cao Y, Yu T, Hu X, Li F (2013) A new method of parallel projective galvanometer scanning for laser material processing on freeform surfaces. Appl Mech Mater 483:9–13. https://doi.org/10.4028/www.scientific.net/AMM.483.9

    Article  Google Scholar 

  10. Li X, Liu B, Mei X, Wang W, Wang X, Li X (2020) Development of an in-situ laser processing system using a three-dimensional galvanometer scanner. Engineering 6(1):68–76. https://doi.org/10.1016/j.eng.2019.07.024

    Article  Google Scholar 

  11. Li C, Zhang GS, Zhang GZ, Wang M, Zhou B (2006) Investigation on correction technology in laser marking on the fly. Guangdianzi Jiguang/J Optoelectron Laser 17(11):1381–1383

    Google Scholar 

  12. Lazov L, Angelov N (2012) Influence of some technological parameters on the contrast of laser marking on the fly. Laser Phys 22(11):1755–1758. https://doi.org/10.1134/S1054660X12110084

    Article  Google Scholar 

  13. He TF, Chen YH, Chen ZQ, Yin H, Chen C (2016) A design of laser rotating and splicing processing system for long rotary body. Laser J 37(1):16–18. https://doi.org/10.14016/j.cnki.jgzz.2016.01.016

    Article  Google Scholar 

  14. Yuen A, Altintas Y (2016) Trajectory generation and control of a 9 axis CNC micromachining center. CIRP Ann Manuf Technol 65(1):349–352. https://doi.org/10.1016/j.cirp.2016.04.098

    Article  Google Scholar 

  15. Duan XY, Peng FY, Zhu KP, Jiang GZ (2019) Tool orientation optimization considering cutter deflection error caused by cutting force for multi-axis sculptured surface milling. Int J Adv Manuf Technol 103(5–8):1925–1934. https://doi.org/10.1007/s00170-019-03663-9

    Article  Google Scholar 

  16. Tang QC, Yin SH, Geng JX, Luo H, Chen YP (2018) The study of variational feed rate in 4-axis machining of blades. Int J Precis Eng Manuf 19(10):1419–1428. https://doi.org/10.1007/s12541-018-0168-y

    Article  Google Scholar 

  17. Zhou Y, Zhang S, Xiao H, Wei Z (2017) Advances in 5-axis CNC laser machining system. Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017). https://doi.org/10.2991/icmmcce-17.2017.253

  18. Cuccolini G, Orazi L, Fortunate A (2013) 5 Axes computer aided laser milling. Opt Lasers Eng 51(6):749–760. https://doi.org/10.1016/j.optlaseng.2013.01.015

    Article  Google Scholar 

  19. Walther M, Sewohl A, Schlegel H, Neugebauer R (2017) Trajectory planning for kinematically redundant robots using Jacobi matrix. An industrial implementation 17(3): 24–35. https://bibliotekanauki.pl/articles/99976

  20. Li J, Li X, Wei W, Liu P (2020) Relative vibration identification of cutter and workpiece based on improved bidimensional empirical mode decomposition. Front Mech Eng 15(2):13. https://doi.org/10.1007/s11465-020-0587-1

    Article  Google Scholar 

  21. Dumanli A, Sencer B (2021) Active control of high frequency chatter with machine tool feed drives in turning. CIRP Ann Manuf Technol 70(1):309–312. https://doi.org/10.1016/j.cirp.2021.04.060

    Article  Google Scholar 

  22. Munoa J, Beudaert X, Erkorkmaz K, Iglesias A, Barrios A, Zatarain M (2015) Active suppression of structural chatter vibrations using machine drives and accelerometers. CIRP Ann Manuf Technol 64(1):385–388. https://doi.org/10.1016/j.cirp.2015.04.106

    Article  Google Scholar 

  23. Dumanli A, Sencer B (2020) Robust trajectory generation for multiaxis vibration Avoidance. IEEE/ASME Trans Mechatron 25(6):2938–2949. https://doi.org/10.1109/TMECH.2020.2999743

    Article  Google Scholar 

  24. Erkorkmaz K, Alzaydi A, Elfizy A, Engin S (2011) Time-optimal trajectory generation for 5-axis on-the-fly laser drilling. CIRP Ann Manuf Technol 60(1):411–414. https://doi.org/10.1016/j.cirp.2011.03.023

    Article  Google Scholar 

  25. Zhao H, Zhu LM, Ding H (2013) A parametric interpolator with minimal feed fluctuation for CNC machine tools using arc-length compensation and feedback correction. Int J Mach Tools Manuf 75(12):1–8. https://doi.org/10.1016/j.ijmachtools.2013.08.002

    Article  Google Scholar 

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Funding

This research was financially supported by the National Natural Science Foundation of China under grant 51975461 and grant 51905414.

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Authors and Affiliations

  1. State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, No. 28, Xianning West Road, Xi’an, 710049, Shaanxi, China

    Xintian Wang, Xuesong Mei, Bin Liu, Zheng Sun & Zhuobo Dong

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  1. Xintian Wang
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  2. Xuesong Mei
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  3. Bin Liu
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  4. Zheng Sun
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  5. Zhuobo Dong
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Contributions

Xintian Wang: conceptualization, methodology, writing, software, validation; Xuesong Mei: supervision; Bin Liu: funding acquisition, project administration; Zheng Sun: conceptualization, writing, funding acquisition; Zhuobo Dong: validation.

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Correspondence to Zheng Sun.

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Wang, X., Mei, X., Liu, B. et al. New linkage control methods based on the trajectory distribution of galvanometer and mechanical servo system for large-range high-feedrate laser processing. Int J Adv Manuf Technol 127, 3397–3411 (2023). https://doi.org/10.1007/s00170-023-11743-0

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  • DOI: https://doi.org/10.1007/s00170-023-11743-0

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