Infrared and Laser Engineering, Volume. 50, Issue 10, 20200446(2021)

Annular drilling process and quality control neural network model of stainless steel micro-hole with femtosecond laser

Duanmu Yue... Huilai Sun, Xue Yang and Jianlin Sun |Show fewer author(s)
Author Affiliations
  • School of Mechanical Engineering, Tianjin Polytechnic University, Tianjin 300387, China
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    Figures & Tables(17)
    Schematic diagram of experimental platform
    Diagram of experiment sample
    Schematic diagram of laser scanning path
    (a) Schematic diagram of the minimum area method to evaluate roundness; (b) Schematic diagram of taper
    SEM images of micro-hole entrance (a) and exit (b)
    Roundness of the micro-hole varies with the factor level
    [in Chinese]
    Taper of the micro-hole varies with the factor level
    Schematic of correlation between ablation regions (a) and laser energy density distribution (b)
    Evolution graph of neural network training error
    • Table 1. Femtosecond laser technical parameters

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      Table 1. Femtosecond laser technical parameters

      PropertyValuePropertyValue
      Power/W≤2.0Waist radius/μm12
      Pulse width/fs120Energy stability/RMS<0.75%
      Wavelength/nm800Focal roundness>85%
      Frequency/kHz≤10Beam qualityM2≤1.2
      Laser diameter/mm6Divergence half-angle/mrad0.10
    • Table 2. 06Cr19Ni10 stainless steel physical parameters

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      Table 2. 06Cr19Ni10 stainless steel physical parameters

      PropertyValue
      Density/g·cm−37.2
      Specific heat capacity/J·kg−1·K 711.8
      Melting point/K1700
      Boiling point/K3200
      Tensile strength/MPa≥515
      Yield strength/MPa≥205
      Hardness/HBW≤201
    • Table 3. Factors and levels of orthogonal experiment

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      Table 3. Factors and levels of orthogonal experiment

      Parameter12345
      ALaser power/W11.251.51.752
      BRepetition rate/kHz88.599.51
      CDefocus/μm−400−2000200400
      DScanning speed/mm·s−10.10.511.52
      EScanning times1020304050
    • Table 4. Range analysis of micro-hole entrance and exit diameter

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      Table 4. Range analysis of micro-hole entrance and exit diameter

      LevelABCDE
      Laser power/W Entrance/μm Exit/μm Repetition rate/kHz Entrance/μm Exit/μm Defocus/μm Entrance/μm Exit/μm Scanning speed/mm·s−1Entrance/μm Exit/μm Scanning times Entrance/μm Exit/μm
      1104.3789.93108.5493.56118.7786.40111.62101.89100.7480.94
      2107.8790.66107.4399.25109.3390.76109.1999.08102.2396.08
      3112.9596.45105.62100.40115.2698.95110.4095.74104.7095.74
      4118.28104.08109.2393.34107.33101.68103.5890.63110.3593.63
      5126.62106.13112.2796.52103.4087.40108.2792.73123.0698.73
      Rj18.24516.26.657.0615.3715.288.0411.2622.3218.14
    • Table 5. Variance analysis of orthogonal experimental date

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      Table 5. Variance analysis of orthogonal experimental date

      Source of variationSum of squaresDegree of freedomMean square errorF-value Significance
      Laser power170.9442.720.91*
      Repetition rate103.4425.840.55
      Defocus158.1439.510.84
      Scanning speed119.1429.770.63
      Scanning times232.4458.111.24**
      Error187.7446.93
      Total971.624
    • Table 6. Range analysis of roundness and taper of micro-hole entrance

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      Table 6. Range analysis of roundness and taper of micro-hole entrance

      LevelABCDE
      Laser power/W Roundness/μm Taper/(°) Repetition rate/kHz Roundness/μm Taper/(°) Defocus/μm Roundness/μm Taper/(°) Scanning speed/mm·s−1Roundness/μm Taper/(°) Scanning times Roundness/μm Taper/(°)
      111.60.014 414.70.015 09.20.032 48.90.009 717.60.019 8
      213.50.017 211.40.008 211.30.018 68.70.010 113.40.006 2
      312.90.016 510.50.005 210.80.016 310.90.014 710.50.009 0
      415.60.014 212.70.015 913.40.005 612.60.013 09.40.016 7
      517.80.020 513.10.015 816.70.016 015.90.015 58.30.024 3
      Rj6.20.006 34.20.010 77.50.026 77.20.005 89.30.018 2
    • Table 7. Experimental data and network prediction results

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      Table 7. Experimental data and network prediction results

      NumberEntrance diameter/μmRelative errorExit diameter/μmRelative error
      Experimental valuePredictive valueExperimental valuePredictive value
      21112.6108.663.5%96.893.123.8%
      22105.4110.464.8%86.590.224.3%
      23108.7108.972.6%88.291.203.4%
      24115.8107.936.8%97.8103.575.9%
      25122.3113.017.6%101.394.516.7%
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    Duanmu Yue, Huilai Sun, Xue Yang, Jianlin Sun. Annular drilling process and quality control neural network model of stainless steel micro-hole with femtosecond laser[J]. Infrared and Laser Engineering, 2021, 50(10): 20200446

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    Paper Information

    Category: Lasers & Laser optics

    Received: Nov. 21, 2020

    Accepted: --

    Published Online: Dec. 7, 2021

    The Author Email:

    DOI:10.3788/IRLA20200446

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