27 Jul New Publication: Automated Detection of Matrix Cracking in CFRP Composites Using X-Ray Micro-Computed Tomography
We are pleased to announce the publication of our latest research in the Journal of Nondestructive Evaluation:
«An Automated Image Processing Method to Detect Progressive Matrix Cracking in CFRP Composites Using X-Ray Micro-Computed Tomography.»
The study, led by Mayerlin Salgado, PhD student at AMADE, together with José M. Guerrero, Laura Carreras, and Jordi Renart, presents a novel automated non-destructive evaluation (NDE) methodology for detecting and monitoring matrix cracking in Carbon Fibre Reinforced Polymer (CFRP) composites.
CFRPs are among the most promising materials for manufacturing liquid hydrogen (LH₂) storage tanks due to their outstanding specific stiffness and strength. However, the extreme cryogenic operating temperature of liquid hydrogen (20 K) generates significant thermal stresses caused by the mismatch in the coefficients of thermal expansion between the composite constituents. These stresses can initiate matrix cracking, compromising the structural integrity and leak tightness of hydrogen storage systems.
To address this challenge, the research combines X-ray micro-computed tomography (µCT) with advanced digital image processing to automatically detect, quantify, and monitor damage evolution in cross-ply CFRP laminates. The proposed methodology enables the automated detection and counting of transverse matrix cracks, provides ply-specific crack density mapping, and offers highly sensitive monitoring of early-stage damage progression.
By delivering a robust and automated tool for characterising microstructural degradation in a fully open-source design, this work contributes to the development of safer and more reliable composite structures for next-generation sustainable hydrogen storage technologies.
Congratulations to Mayerlin Salgado on leading this important research contribution.
Reference
Salgado, M., Guerrero, J. M., Carreras, L., & Renart, J. An Automated Image Processing Method to Detect Progressive Matrix Cracking in CFRP Composites Using X-Ray Micro-Computed Tomography. Journal of Nondestructive Evaluation.
