Rapid Detection of Laser Surface Modification Quality Based on Machine Vision

Fig. 1. Laser surface modification system and modified specimen. (a) Modification system; (b) specimen before modification; (c) modified specimen; (d) section image of modified specimen

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Fig. 2. Surface morphology of specimens. (a) Original specimen; (b) modified sample with low energy; (c) modified specimen with appropriate energy; (d) modified sample with high energy

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Fig. 3. Binary images of different specimens. (a) Original specimen; (b) modified specimen with low energy; (c) modified specimen with appropriate energy; (d) modified specimen with high energy

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Fig. 4. Optimization of process parameters

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Fig. 5. Surface morphology of specimens. (a) Low energy; (b) experiment 1; (c) experiment 2; (d) high energy; (e) experiment 3

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Table 1. Parameters for region texture features
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Table 1. Parameters for region texture features
Parameter Area Orientation Oblateness Symmetry Accumulation Density Entropy
Mean s_m θ_m o_m p_m a_m
Standard deviation s_s θ_s o_s p_s a_s n_a e

Table 2. Modification parameters
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Table 2. Modification parameters
Power /W Speed /(mm·min^-1) Spot diameter /mm Step /mm R_a /μm Remelting depth /μm
0 - - - 0.9 0
350 8000 0.09 0.08 2.4 ~5
500 8000 0.09 0.08 5.9 ~50
600 8000 0.09 0.08 13.2 ~200

Table 3. Detection results of classification algorithms

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Table 3. Detection results of classification algorithms

Algorithm	Trainingtime /s	Predictiontime /s	Trainingaccuracy /%	Predictionaccuracy /%	Accuracy(rotate 90°) /%	Accuracy(double scale) /%
LBP+SVM	25	0.10	100	98.2	31.2	37.2
GLCM+SVM	165	0.05	100	97.0	64.2	66.5
Moments+SVM	170	0.03	75.3	65.2	55.4	57.2
Our	45	0.01	100	97.0	86.2	80.2

Table 4. Process parameters
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Table 4. Process parameters
Experiment number Power /W Speed /(mm·min^-1) Spot diameter /mm Step /mm Status
1 350 2000 0.09 0.08 2
2 420 2000 0.09 0.08 3
3 600 8000 0.25 0.08 3

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Tian Chongxin, Li Shaoxia, Yu Gang, He Xiuli, Wang Xu. Rapid Detection of Laser Surface Modification Quality Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2020, 57(21): 211407

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