A new EBSD based methodology for the quantitative characterisation of microstructures formed by displacive fcc-bcc...

Current methods for analyzing microstructures formed by displacive transformations lack a precise way to quantify grain alignment within packets. While EBSD is widely used to study grain boundaries, no existing framework clearly distinguishes between intra- and inter-packet misorientations. Prior research has shown that grain boundary misorientations can reveal transformation mechanisms, but these findings remain descriptive. No prior work had resolved how to split misorientation distributions into packet-specific components. This gap motivated the need for a crystallographically grounded approach. Existing models do not account for habit plane assumptions in packet formation. The lack of a standardized procedure for analyzing lath and packet boundaries remains a limitation. This study introduces a new framework to address these challenges. The methodology aims to improve the accuracy of microstructural quantification in transformation processes.

The study aims to develop a new crystallographic methodology for quantifying grain alignment in microstructures formed by displacive transformations. The goal is to distinguish between intra- and inter-packet misorientations using EBSD data. The researchers propose a framework that defines packets based on crystallographic principles. This approach allows for the separation of misorientation distributions into meaningful components. The methodology is intended to improve the interpretation of grain boundary networks. The study seeks to provide a step-by-step procedure for applying the technique. The researchers aim to validate the method using trace analysis and weld metal examples. This work may enhance the understanding of microstructure evolution in transformation processes.

The methodology uses a crystallographic definition of packets to determine ideal misorientations for intra-packet boundaries. EBSD mapping provides extensive misorientation distributions for analysis. The misorientations are split into intra- and inter-packet components using integration. The theoretical framework is explained in detail, including assumptions about habit planes. Trace analysis is used to justify the assumptions made about packet formation. The procedure includes a step-by-step breakdown for applying the methodology. The grain boundary network is divided into lath and packet boundaries for analysis. Example weld metal microstructures are used to demonstrate the method's application.

The methodology successfully splits misorientation distributions into intra- and inter-packet components. Trace analysis supports the assumptions about habit planes in packet formation. The procedure is demonstrated using weld metal microstructures as examples. Quantitative values of microstructures are provided to validate the approach. The method allows for the separation of lath and packet boundaries in grain networks. Misorientation fractions are determined through integration of distribution data. The results show that the method can distinguish between different types of boundaries. The methodology provides a new way to quantify microstructural alignment in transformation processes.

The study presents a new framework for quantifying microstructural alignment in displacive transformations. The methodology is based on crystallographic definitions of packets and misorientations. The approach allows for the separation of intra- and inter-packet boundaries in EBSD data. The researchers propose that this method improves the accuracy of microstructure analysis. The methodology is demonstrated using weld metal examples and trace analysis. The results suggest that the framework can be applied to study transformation mechanisms. The study concludes that the method provides a new way to interpret grain boundary networks. The authors suggest that this approach enhances the understanding of microstructure evolution.