Development of a tool to analyse adhesive volumes under X-ray μ-tomography

In bonded assemblies, porosity within the adhesive layer— which often occurs during resin and hardener mixing—can significantly influence mechanical performance. This study addresses the lack of understanding regarding the effect of porosity on joint behavior by proposing a dedicated analysis methodology. A tool was developed to process X-ray μ-tomography data, allowing for noise filtering, artifact removal, and detection of microstructural entities (pores) through grayscale intensity thresholding. Two methods for average intensity extraction were designed and tested on synthetic volumes using MATLAB, with the more computationally efficient approach selected for real data analysis. This tool enables optimized porosity quantification, contributing to improved evaluation of adhesive joint integrity.