Thermal digital image correlation (TDIC): non-destructive analysis of fiber-impregnated composites
A Thermal Digital Image Correlation method rapidly determines spatial variations in fiber orientation, detects matrix rich regions, and predicts resulting mechanical properties both pre- and post-thermal molding in composite parts.
The problem
Continuous and discontinuous fiber reinforced composites, such as sheet molding composites (SMCs) can provide enhanced strength and weight-reduction compared to typical materials like aluminum. The disadvantage of this processing technique is that the mechanical performance can vary due to the dispersion of fibers within the composite. Commonly, destructive testing is performed to determine part quality which is costly, time consuming, and does not provide spatial resolution.
The solution
Researchers at the University of Tennessee have developed a novel method of analysis for a variety of pre-impregnated composite parts and materials using Thermal Digital Image Correlation (TDIC). This TDIC method is capable of rapidly determining spatial variations in fiber orientation, detection of matrix rich regions, and the resulting mechanical properties both pre- and post-thermal molding in parts. Analysis can be conducted on a wide variety of materials to predict properties such as thermal conductivity, diffusivity, specific heat, stiffness, and strength. The method is suitable for large- or small- scale specimens for rapid prototyping or quality assurance.
Benefits
- Non-destructive enabling orthogonal pre/post analysis
- Compatible with ceramic, polymer, and metal-based matrixes
- Repair, patching, or hybrid joint analysis
- Fatigue, static & dynamic strength, thermal resistance, and crash worthiness trait determination.
Patent status
Granted: US 11,435,486 B2.
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