Thermographic analysis of structural defects in polymer composites with honeycomb filler using triangulation

The paper presents a method for detecting structural defects in the honeycomb filler of polymer composites using active thermography with a linear heater. The developed algorithm provides detection and assessment of defects based on matrix convolution for identifying honeycomb cells and triangulating their centers. Tests on samples with defects demonstrated high efficiency, especially in detecting violations of the structural integrity of the filler. A mathematical model confirms the sensitivity of the method, promising improved quality control in the production of composite materials. The proposed approach allows for effective defect detection, increasing reliability and reducing defects while minimizing quality control costs, which is relevant for the industry.