Copper sulfidation in the rubber/brass interface of tires during aging is still not well understood. Here, the 3D spatial location and chemical states of copper species in a rubber/brass composite are visualized and tracked by 3D X-ray spectroimaging with data-driven machine learning analysis.
Machine learning-derived reaction statistics for 3D spectroimaging of copper sulfidation in heterogeneous rubber/brass composites