Ai-guo OUYANG, Bin YU, Jun HU, Tong-zheng LIN, Yan-de LIU. Grade Evaluation of Grain Size in High-Speed Railway Wheel Steel Based on Laser-Induced Breakdown Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(11): 3428
- Spectroscopy and Spectral Analysis
- Vol. 42, Issue 11, 3428 (2022)
Fig. 1. Metallographic organization images with 100 times magnification of samples with different grain sizes
(a): at level 9.5; (b): at level 10.0; (c): at level 10.5;(d): at level 11.0; (e): at level 11.5
(a): at level 9.5; (b): at level 10.0; (c): at level 10.5;(d): at level 11.0; (e): at level 11.5
Fig. 2. A schematic diagram of LIBS system
Fig. 3. LIBS spectra of Fe, Cr, Mo and Co of 5 samples
(a): the wavelength range of 402~406 nm; (b): the wavelength range of 423~427 nm;(c): the wavelength range of 384~388 nm; (d): the wavelength range of 239~243 nm
(a): the wavelength range of 402~406 nm; (b): the wavelength range of 423~427 nm;(c): the wavelength range of 384~388 nm; (d): the wavelength range of 239~243 nm
Fig. 4. Modelling results of PLS-DA based on full band spectral intensities pretreated by SNN
(a): Training set; (b): Prediction set
(a): Training set; (b): Prediction set
Fig. 5. CARS wavelength screening process
Fig. 6. Wavelength screening process of SPA
Fig. 7. CARS-SPA wavelength screening process
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Table 1. Main chemical composition of ER8 steel(Wt%)
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Table 2. Grain size grades of sample under different heat treatment conditions
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Table 3. Results for model evaluation indeces
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Table 4. PLS-DA discriminant analysis results based on different characteristic wavelength screening methods
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