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    Journals >Infrared and Laser Engineering >Volume 53 >Issue 7 >Page 20240144 > Article
    • Infrared and Laser Engineering
    • Vol. 53, Issue 7, 20240144 (2024)
    Research progress of laser thermography non-destructive testing (invited)
    Yunze HE1, Qi CHEN1, Hongjin WANG1,*, Baoyuan DENG1..., Ruizhen YANG2 and Yaonan WANG1|Show fewer author(s)
    Author Affiliations
  • 1College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
  • 2College of Civil Engineering, Hunan University, Changsha 410082, China
    • show less
    DOI: 10.3788/IRLA20240144 Cite this Article
    Yunze HE, Qi CHEN, Hongjin WANG, Baoyuan DENG, Ruizhen YANG, Yaonan WANG. Research progress of laser thermography non-destructive testing (invited)[J]. Infrared and Laser Engineering, 2024, 53(7): 20240144 Copy Citation Text show less
    Laser thermography based nondestructive testing system
    Fig. 1. Laser thermography based nondestructive testing system
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    Schematic diagram of laser spot thermography system
    Fig. 2. Schematic diagram of laser spot thermography system
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    Schematic diagram of laser-line scanning thermography system
    Fig. 3. Schematic diagram of laser-line scanning thermography system
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    Schematic diagram of laser array spot thermography system[17]
    Fig. 4. Schematic diagram of laser array spot thermography system[17]
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    Schematic diagram of laser pulse thermography detection
    Fig. 5. Schematic diagram of laser pulse thermography detection
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    Schematic diagram of laser lock-in thermography detection
    Fig. 6. Schematic diagram of laser lock-in thermography detection
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    Schematic diagram of laser pulse phase thermography detection
    Fig. 7. Schematic diagram of laser pulse phase thermography detection
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    Schematic diagram of fiber-coupled beam homogenization system[24]
    Fig. 8. Schematic diagram of fiber-coupled beam homogenization system[24]
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    Schematic diagram of pulsed compression enhanced laser infrared thermal imaging[25]
    Fig. 9. Schematic diagram of pulsed compression enhanced laser infrared thermal imaging[25]
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    Experimental measurement results of pulsed compression enhanced laser infrared thermal imaging for test specimen with 3 mm desticking defect[25]
    Fig. 10. Experimental measurement results of pulsed compression enhanced laser infrared thermal imaging for test specimen with 3 mm desticking defect[25]
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    Deconvolution reconstruction method based on Lucy-Richardson algorithm[41]
    Fig. 11. Deconvolution reconstruction method based on Lucy-Richardson algorithm[41]
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    Metal crack testing results[54]
    Fig. 12. Metal crack testing results[54]
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    Chip welding testing results[67]
    Fig. 13. Chip welding testing results[67]
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    Inductive cracking testing results[71]
    Fig. 14. Inductive cracking testing results[71]
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    Spot welding defect testing results[77]
    Fig. 15. Spot welding defect testing results[77]
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    Heating modeAdvantagesLimitations
    LPTSimpleHigh energyLong detection timeSensitive to noisesHeating unevenly
    LLTHigh sensitivityLow noiseLow efficiency
    LPPTHigh efficiency Well distributedComparatively complexNeed appropriate sampling intervals
    Table 1. Comparison of different heating modes in laser thermal imaging
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    Ref.MethodProcessing result
    [40]Otsu adaptive threshold segmentation method and a derivative analysis methodCan control the quantification accuracy of defect size within 25% and the depth quantification accuracy of tiny defects within 7%
    [41]Deconvolution reconstruction method based on Lucy-Richardson algorithmThe defect detection diameter-to-depth ratio reached 1.5, while the defect detection rate of the test specimens can approach 90%
    [42]Signal enhancement of the scanning laser line source (SLLS) methodSLLS peak for signal enhancement can effectively respond to the crack depth within a limited scope
    [43]An active 3-D thermography system uses only one thermal camera for moving objectsThe error is calibrated within 0.25 mm in the range of 1 to 150 mm and evidenced the capability for subsurface defects detection
    [44]Laplacian calculationsExtremely small perturbations can be efficiently extracted from lock-in thermography signals
    [45]Absolute thermal contrast, thermographic signal reconstruction, phase Fourier analysis and principal component analysisPCA applied to long pulse thermography provides accurate imaging results over traditional pulsed thermography and step heating thermography
    [46]Construct and subtract an oriented carrier temperature fieldBlind holes with diameters of 1, 2, and 3 mm and artificial disbonds with diameters of 2 and 3 mm are detected with high efficiency
    [47]Partial least squares regression (PLSR) and Independent component analysis (ICA)The 1 st independent component has a better detection effect for defect depth and diameter
    [48]Reconstruction method based on 1 D heat conduction modelSolve the dilemma between the inspection speed and the inspection capacity, get higher temporal resolution and spatial resolution of thermal images
    [49]Non-orthogonal reconstructed space for line scanning thermographyThe temporal alignment error is controlled within one pixel
    [50]Data parameterization (curve fitting) for infrared sequencesReduction of output data size and faster real time processing
    [51]Sequence differential processingEffectively reduces the influence of uneven laser energy distribution on detection efficiency and enhances internal defect information
    [52]A contrast enhancement method by homomorphic technologyThe composite material defects with a depth of less than 4 mm can be detected and that with a depth of less than 3 mm can be evaluated quantitatively with a small error less than 10%
    Table 2. Imaging data processing methods
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    Yunze HE, Qi CHEN, Hongjin WANG, Baoyuan DENG, Ruizhen YANG, Yaonan WANG. Research progress of laser thermography non-destructive testing (invited)[J]. Infrared and Laser Engineering, 2024, 53(7): 20240144
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