scholarly journals ARPGE: a computer program to automatically reconstruct the parent grains from electron backscatter diffraction data

2007 ◽  
Vol 40 (6) ◽  
pp. 1183-1188 ◽  
Author(s):  
Cyril Cayron
Keyword(s):  
Phase Transition ◽  
Computer Program ◽  
Diffraction Data ◽  
Electron Backscatter Diffraction ◽  
Parent Phase ◽  
Martensitic Transformations ◽  
Variant Selection ◽  
Electron Backscatter ◽  
Backscatter Diffraction ◽  
Theoretical Results

A computer program calledARPGEwritten in Python uses the theoretical results generated by the computer programGenOVato automatically reconstruct the parent grains from electron backscatter diffraction data obtained on phase transition materials with or without residual parent phase. The misorientations between daughter grains are identified with operators, the daughter grains are identified with indexed variants, the orientations of the parent grains are determined, and some statistics on the variants and operators are established. Some examples with martensitic transformations in iron and titanium alloys were treated. Variant selection phenomena were revealed.

Electron backscatter diffraction study of variant selection during ordering phase transformation in L10-type red gold alloy

2019 ◽  
Vol 52 (5) ◽  
pp. 1202-1213 ◽  
Author(s):  
Margaux N. D. Larcher ◽  
Cyril Cayron ◽  
Andreas Blatter ◽  
Raphaëlle Soulignac ◽  
Roland E. Logé
Keyword(s):  
Lattice Distortion ◽  
Gold Alloy ◽  
Electron Backscatter Diffraction ◽  
Martensitic Transformations ◽  
Careful Analysis ◽  
Mechanical Work ◽  
Variant Selection ◽  
Ebsd Data ◽  
Electron Backscatter ◽  
Backscatter Diffraction

A shape-memory effect is known to appear in red gold alloys with compositions close to Au–Cu. The aim of this paper is to study by electron backscatter diffraction (EBSD) the variant selection in the A1 → L10 transformation occurring under stress, in bending conditions. The L10 domains are successfully identified by this technique despite the c/a ratio being close to unity. The orientation relationship between the cubic and tetragonal phases is determined by a careful analysis of the EBSD data. The distortion of the lattice for each variant is then modelled and calculated from the experimental orientations. The mechanical work associated with the transformation is computed from the lattice distortion by neglecting the obliquity. Finally, the distribution of this mechanical work is compared with the case of a uniform distribution of all variants, in order to evaluate the extent of variant selection. The maximal work criterion, often used for martensitic transformations, enabled quantification of the variant selection phenomenon.

scholarly journals Automated meshing of electron backscatter diffraction data and application to finite element micromagnetics

2019 ◽  
Vol 486 ◽  
pp. 165256 ◽  
Author(s):  
Markus Gusenbauer ◽  
Johann Fischbacher ◽  
Alexander Kovacs ◽  
Harald Oezelt ◽  
Simon Bance ◽  
...  
Keyword(s):  
Finite Element ◽  
Diffraction Data ◽  
Electron Backscatter Diffraction ◽  
Electron Backscatter ◽  
Backscatter Diffraction

A remark on ab initio indexing of electron backscatter diffraction patterns

2021 ◽  
Vol 54 (6) ◽  
Author(s):  
Adam Morawiec
Keyword(s):  
Single Crystal ◽  
Ab Initio ◽  
Diffraction Data ◽  
Electron Backscatter Diffraction ◽  
Single Crystal Diffraction ◽  
X Ray ◽  
Electron Backscatter ◽  
Diffraction Patterns ◽  
Backscatter Diffraction

There is a growing interest in ab initio indexing of electron backscatter diffraction (EBSD) patterns. The methods of solving the problem are presented as innovative. The purpose of this note is to point out that ab initio EBSD indexing belongs to the field of indexing single-crystal diffraction data, and it is solved on the same principles as indexing of patterns of other types. It is shown that reasonably accurate EBSD-based data can be indexed by programs designed for X-ray data.

Insight into the phase transformations between ice Ih and ice II from electron backscatter diffraction data

2012 ◽  
Vol 66 (2) ◽  
pp. 69-72 ◽  
Author(s):  
David J. Prior ◽  
Sabrina Diebold ◽  
Rachel Obbard ◽  
Charles Daghlian ◽  
David L. Goldsby ◽  
...  
Keyword(s):  
Phase Transformations ◽  
Diffraction Data ◽  
Electron Backscatter Diffraction ◽  
Electron Backscatter ◽  
Backscatter Diffraction ◽  
Insight Into

scholarly journals A multivariate grain size and orientation distribution function: derivation from electron backscatter diffraction data and applications

2021 ◽  
Vol 54 (1) ◽  
Author(s):  
Jesús Galán López ◽  
Leo A. I. Kestens
Keyword(s):  
Grain Size ◽  
Distribution Function ◽  
Orientation Distribution Function ◽  
Diffraction Data ◽  
Electron Backscatter Diffraction ◽  
Orientation Distribution ◽  
Formation Mechanisms ◽  
Electron Backscatter ◽  
Backscatter Diffraction ◽  
Grain Size And Orientation

Two of the microstructural parameters most influential in the properties of polycrystalline materials are grain size and crystallographic texture. Although both properties have been extensively studied and there are a wide range of analysis tools available, they are generally considered independently, without taking into account the possible correlations between them. However, there are reasons to assume that grain size and orientation are correlated microstructural state variables, as they are the result of single microstructural formation mechanisms occurring during material processing. In this work, the grain size distribution and orientation distribution functions are combined in a single multivariate grain size orientation distribution function (GSODF). In addition to the derivation of the function, several examples of practical applications to low carbon steels are presented, in which it is shown how the GSODF can be used in the analysis of 2D and 3D electron backscatter diffraction data, as well as in the generation of representative volume elements for full-field models and as input in simulations using mean-field methods.

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