Szczegóły publikacji
Opis bibliograficzny
Mapping of lattice distortion in martensitic steel — comparison of different evaluation methods of EBSD patterns / Grzegorz CIOS, Aimo WINKELMANN, Gert Nolze, Tomasz TOKARSKI, Łukasz RYCHŁOWSKI, Leonid Dan, Piotr BAŁA // Ultramicroscopy ; ISSN 0304-3991. — 2023 — vol. 253 art. no. 113824, s. 1–11. — Bibliogr. s. 10–11, Abstr. — Publikacja dostępna online od: 2023-08-03. — P. Bała - dod. afiliacja: ACMiN
Autorzy (7)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 149250 |
|---|---|
| Data dodania do BaDAP | 2023-11-10 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.ultramic.2023.113824 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Ultramicroscopy |
Abstract
To visualize the varying tetragonal distortions in high carbon martensitic steels by EBSD, two different approaches have been applied on backscattered Kikuchi diffraction (BKD) patterns. A band-edge refinement technique called Refined Accuracy (RA) (Oxford Instruments) is compared with a technique called Pattern Matching (PM), which optimizes the fit to a simulated BKD signal. RA distinguishes between hypothetical phases of different fixed c/a, while PM determines a best fitting continuous c/a by projective transformation of a master pattern. Both techniques require stored BKD patterns. The sensitivity of the c/a-determination was tested by investigating the microstructure of a ferritic steel with an expected c/a=1. The influence of the Kikuchi pattern noise on c/a was compared for a single or 40 averaged frames per measuring point, and turned out to be not significant. The application of RA and PM on the martensitic microstructure delivered qualitatively similar maps of c/a. The comparison of RA and PM shows that RA is suitably fast and precise during mapping the martensite c/a ratio in analyses of high carbon martensite, especially for fast initial surveys. As RA leads quantitatively to higher noise in c/a, the PM analysis can be used for higher precision results. © 2023 Elsevier B.V.
