Characterisation of Triple Junction Geometry in Polycrystals by Automated Digital Image Processing

摘要

The dihedral angle distribution is a useful parameter in the quantification of polycrystalline microstructures. However, this microstructural parameter has not received much attention because the methodologies associated with the accurate measurements of dihedral angles are generally tedious and time consuming. In this paper an automated methodology, based on image processing and analysis, is developed to evaluate dihedral angles in microstructures in a two-dimensional plane section of polycrystals. It is shown that the technique is extremely fast and accurate and therefore can be applied to obtain a significantly large statistical sample of dihedral angles. The application of this method is demonstrated by evaluating triple junction geometry of polycrystalline 316L austenitic stainless steel.