Abstract
The present article introduces a new software, Microstructure Evaluation Tool for Interface Statistics (METIS), that performs high-throughput microstructure statistical analysis from electron backscatter diffraction maps. Emphasis is placed on the detection of twin domains in hexagonal close-packed metals. The numerical framework on which METIS is built leverages graph theory, group structures, and associated numerical algorithms to automatically detect twins and unravel both their intrinsic characteristics features and those pertaining to their interactions. The proposed graphical interface allows for the detection and correction of unlikely twin/parent associations rendering the approach applicable to highly deformed microstructures. Twin statistics and microstructural data are classified and saved in a relational database that can be interrogated via either GUI or SQL requests to reveal a wide spectrum of features of the microstructure. Illustration of the approach is performed in the case of zirconium.
Highlights
Twinning is a prevalent deformation mode in hexagonal close-packed (h.c.p.) materials [1,2,3,4,5,6]
The present study proposes a novel approach, Microstructure Evaluation Tool for Interface Statistics (METIS), to perform high-throughput statistical analysis of twinned microstructures
The first step in the EBSD analysis consists of grouping all measurement points of similar orientation in order to form a first graph of connected fragments
Summary
Twinning is a prevalent deformation mode in hexagonal close-packed (h.c.p.) materials [1,2,3,4,5,6]. With these definitions, identifying a given twin mode and system consists in finding the closest object to the disorientation qcc12 existing between the parent and twin phases in T , defined as the set of possible twinning relationships, within a given threshold dmax: τ = arg min δ t ∈T Depending on the graph considered, connected parts can correspond to grains, twins, or parent phases, etc.
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