• Laser & Optoelectronics Progress
  • Vol. 60, Issue 16, 1612001 (2023)
Minhui Zheng, Zhenzhong Wang*, Xuepeng Huang, and Lucheng Li
Author Affiliations
  • School of Aerospace Engineering, Xiamen University, Xiamen 361102, Fujian, China
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    DOI: 10.3788/LOP222456 Cite this Article Set citation alerts
    Minhui Zheng, Zhenzhong Wang, Xuepeng Huang, Lucheng Li. Wear Detection Method for Flexible Polishing Bonnet Tools Based on Improved Iterative Closest Point Splicing Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1612001 Copy Citation Text show less
    Schematic of data acquisition platform detection. (a) Three-axis motion platform; (b) schematic of bonnet polishing precession; (c) R40 bonnet tool; (d) KEYENCE LJ-X8200 large range line laser sensor;(e)SmartRay ECCO95.020 small range line laser sensor;(f)R160 bonnet tool
    Fig. 1. Schematic of data acquisition platform detection. (a) Three-axis motion platform; (b) schematic of bonnet polishing precession; (c) R40 bonnet tool; (d) KEYENCE LJ-X8200 large range line laser sensor;(e)SmartRay ECCO95.020 small range line laser sensor;(f)R160 bonnet tool
    R40 bonnet tool dataset
    Fig. 2. R40 bonnet tool dataset
    Data preprocessing effect
    Fig. 3. Data preprocessing effect
    Three frames of adjacent point clouds
    Fig. 4. Three frames of adjacent point clouds
    Specific process of the algorithm
    Fig. 5. Specific process of the algorithm
    Flow chart of bonnet wear detection algorithm
    Fig. 6. Flow chart of bonnet wear detection algorithm
    Registration effect of R40 bonnet tool. (a) PFH-ICP registration algorithm; (b) FPFH-ICP registration algorithm; (c) 3DSC-ICP registration algorithm; (d) NDT-ICP registration algorithm; (e) proposed crude registration -ICP; (f) proposed algorithm
    Fig. 7. Registration effect of R40 bonnet tool. (a) PFH-ICP registration algorithm; (b) FPFH-ICP registration algorithm; (c) 3DSC-ICP registration algorithm; (d) NDT-ICP registration algorithm; (e) proposed crude registration -ICP; (f) proposed algorithm
    Registration effect of R160 bonnet tool. (a) PFH-ICP registration algorithm; (b) FPFH-ICP registration algorithm; (c) 3DSC-ICP registration algorithm; (d) NDT-ICP registration algorithm; (e) proposed crude registration-ICP; (f) proposed algorithm
    Fig. 8. Registration effect of R160 bonnet tool. (a) PFH-ICP registration algorithm; (b) FPFH-ICP registration algorithm; (c) 3DSC-ICP registration algorithm; (d) NDT-ICP registration algorithm; (e) proposed crude registration-ICP; (f) proposed algorithm
    Bonnet tool point cloud obtained by one-time full scanning
    Fig. 9. Bonnet tool point cloud obtained by one-time full scanning
    Contour plot in Y direction obtained by the large range line laser sensor
    Fig. 10. Contour plot in Y direction obtained by the large range line laser sensor
    Contour plot in X direction obtained by the large range line laser sensor
    Fig. 11. Contour plot in X direction obtained by the large range line laser sensor
    Contour plot in Y direction obtained by the proposed algorithm
    Fig. 12. Contour plot in Y direction obtained by the proposed algorithm
    Contour plot in X direction obtained by the proposed algorithm
    Fig. 13. Contour plot in X direction obtained by the proposed algorithm
    Platform motion axisParameterPrecision
    X axisMaximum stroke is 430 mmSingle-axis repeatable positioning accuracy is ±0.5 μm
    Y axisMaximum stroke is 430 mmSingle-axis repeatable positioning accuracy is ±0.5 μm
    Z axisMaximum stroke is 200 mmSingle-axis repeatable positioning accuracy is ±0.5 μm
    Table 1. Motion parameters of three-axis platform
    Base distance(best test distance)/mmZ-axis measurement range(height)/mmX-axis measurement range(width)/mmX-axis repeatability(width)/μmZ -axis repeatability(height)/μm
    245211-27964-8031
    Table 2. Parameters of KEYENCE LJ-X8200 large range line laser sensor
    Base distance(best test distance)/mmZ-axis measurement range(height)/mmX-axis measurement range(width)/mmX-axis repeatability(width)/μmZ -axis repeatability(height)/μm
    6050-7022-280.20.2
    Table 3. Parameters of SmartRay ECCO95.020 small range line laser sensor
    Point cloud dataNumber of original point cloudsNumber of point clouds after preprocessingPoint cloud count reduction /%
    11338814596099.6
    22393770285099.9
    32402175282599.9
    42349507283399.8
    Table 4. Data preprocessing result
    AlgorithmXYZ
    PFH-ICP0.12920.0092-0.7553
    FPFH-ICP0.08520.0174-0.7694
    3DSC-ICP0.11450.0088-0.7789
    NDT-ICP0.18510.2904-0.7503
    Proposed crude registration algorithm-ICP0.000030.0005-0.7485
    Proposed algorithm0.000020.0004-0.7358
    Table 5. Average rotation error of two registrations for R40 bonnet tool
    AlgorithmXYZ
    PFH-ICP0.06130.3383-0.7677
    FPFH-ICP0.04130.3626-0.7664
    3DSC-ICP0.11420.0498-0.7735
    NDT-ICP0.35740.2896-0.7803
    Proposed crude registration algorithm-ICP0.00070.0008-0.7448
    Proposed algorithm0.00050.0004-0.7248
    Table 6. Average rotation error of two registrations for R160 bonnet tool
    AlgorithmXYZ
    PFH-ICP0.0016-0.2978-0.1985
    FPFH-ICP0.0015-0.2985-0.1998
    3DSC-ICP0.0018-0.2997-0.1993
    NDT-ICP0.0153-0.2982-0.1956
    Proposed crude registration algorithm-ICP0.0006-0.2968-0.1945
    Proposed algorithm0.0005-0.2950-0.1931
    Table 7. Average translation error of two registrations for R40 bonnet tool
    AlgorithmXYZ
    PFH-ICP0.0023-0.2949-0.1963
    FPFH-ICP0.0092-0.2975-0.1988
    3DSC-ICP0.0018-0.2999-0.1994
    NDT-ICP0.0065-0.2942-0.1985
    Proposed crude registration algorithm-ICP0.0006-0.2935-0.1931
    Proposed algorithm0.0004-0.2915-0.1911
    Table 8. Average translation error of two registrations for R160 bonnet tool
    AlgorithmCoarse registrationPrecise registrationTotal time
    PFH-ICP18.1371.04419.181
    FPFH-ICP9.2941.00710.301
    3DSC-ICP2.18710.66312.849
    NDT-ICP1.37921.53922.918
    Proposed crude registration algorithm-ICP0.2481.8052.053
    Proposed algorithm0.2480.9311.179
    Table 9. Average registration completion time of two registrations for R40 bonnet tool
    AlgorithmCoarse registrationPrecise registrationTotal time
    PFH-ICP327.3306.804334.134
    FPFH-ICP210.7037.345218.048
    3DSC-ICP46.185461.184507.369
    NDT-ICP6.34544.38750.732
    Proposed crude registration algorithm-ICP1.15314.69215.845
    Proposed algorithm1.1537.8458.998
    Table 10. Average registration completion time of two registrations for R160 bonnet tool
    MethodZ_x¯Z_y¯Z_x¯+Z_y¯)/2
    Wear depth error0.00170.0150.0067
    One-time full scanning0.23090.33720.2841
    Proposed algorithm0.23260.32220.2774
    Table 11. Wear depth of R40 bonnet tool
    Minhui Zheng, Zhenzhong Wang, Xuepeng Huang, Lucheng Li. Wear Detection Method for Flexible Polishing Bonnet Tools Based on Improved Iterative Closest Point Splicing Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1612001
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