| About this Abstract |
| Meeting |
MS&T23: Materials Science & Technology
|
| Symposium
|
Advances in Ferrous Metallurgy
|
| Presentation Title |
Effective Characterization of Highly Deformed Microstructures Using EBSD Pattern Matching Techniques |
| Author(s) |
Michael Hjelmstad, Pat Trimby, Aimo Winkelmann |
| On-Site Speaker (Planned) |
Michael Hjelmstad |
| Abstract Scope |
Steels that have undergone extreme deformation, especially at low temperatures or high strain rates, contain very high local dislocation densities causing difficulties for effective characterization using electron backscatter diffraction (EBSD). The diffraction pattern source volume can contain a range of crystal orientations resulting in very poor quality, distorted patterns that yield low indexing rates and may be impossible to characterize effectively using conventional EBSD.
We will present two dynamic pattern matching approaches. The first, dynamic template matching, is an alternative to dictionary indexing in which the simulated pattern templates are derived from a pre-calculated master pattern only when required and can be implemented when initial indexing using Hough transform was poor. The second, a form of hybrid pattern matching, uses the initial Hough results as a starting point to speed up reanalysis. The result is reprocessed datasets from challenging materials with higher indexing rates and improved angular precision. |