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Updated: Dec 21, 2025
11:34
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
Published on: May 15, 2017
11.5K
Optimized Gaussian model for non-uniform heating compensation in pulsed thermography
Applied Optics
|May 14, 2020
Summary
A novel method enhances thermal compensation in composite thermograms by analyzing spatial data. This technique accurately models background temperature, significantly improving defect detection in carbon-fiber-reinforced plastics.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Infrared Thermography
Background:
- Background heating in thermograms complicates defect detection in composite materials.
- Existing methods for thermal compensation often require predefined variables or reference regions.
Purpose of the Study:
- To introduce a new methodology for automatic thermal compensation of background heating in composite thermograms.
- To improve defect detection accuracy in pulsed thermography inspections of composites.
Main Methods:
- Analysis of spatial data from thermal images using pulsed thermography.
- Automatic calculation of optimal parameters for a predefined objective function via curve fitting (least squares method).
- Modeling background temperature distribution using the developed objective function.
Main Results:
- Achieved average signal-to-noise ratio (SNR) of 55.0 dB on synthetic images and 7.0 dB on real images.
- Demonstrated statistically significant superior performance compared to differential absolute contrast (DAC) and background thermal compensation by filtering (BTCF).
- Outperformed contrast normalization (CN) by not requiring predefined variables or reference regions.
Conclusions:
- The proposed methodology offers an effective and automated approach for thermal compensation in composite thermography.
- The technique enhances defect visualization and characterization without prior material knowledge or temporal analysis.
- This method represents a significant advancement for non-destructive evaluation of composite materials.
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