| Abstract Scope |
Grain Boundary (GB) deformation mechanisms such as Sliding (GBS) and Opening (GBO) are prevalent in alloys at high homologous temperatures but are hard to quantify. We propose an automated procedure to quantify nanoscale 3D-GB deformations, combining precisely aligned Digital Image Correlation (DIC), electron backscatter diffraction, optical profilometry, and in-beam secondary electron maps (Vermeij et al., Experimental Mechanics, 2022). The framework, named Sliding identification by Local Integration of Displacements across Edges (SLIDE), (i) distinguishes GBS/GBO, (ii) computes the datapoint-wise measured in-plane displacement gradient tensor (from DIC), (iii) projects this data onto the theoretical GBS tensor to reject near-GB plasticity/elasticity/noise, and (iv) adds the out-of-plane step from optical profilometry to yield the local 3D GBS/GBO vector; automatically repeated for each ∼50nm-long GB segment. SLIDE is validated on a virtual experiment of discrete 3D sliding, and successfully applied to Zn-coated steel experiments, yielding quantitative GBS/GBO activity maps (Mornout et al., 2025, Scripta Materialia). |