A QUANTITATIVE SOLUTION FOR THE COOL TROPICS PARADOX OF PAST GREENHOUSE CLIMATES: TESTING DIAGENETIC HYPOTHESES COMBINING CLUMPED ISOTOPE AND ELECTRON BACKSCATTER DIFFRACTION DATA ON FORAMINIFERA

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.

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

Journal of Magnetism and Magnetic Materials ◽

10.1016/j.jmmm.2019.165256 ◽

2019 ◽

Vol 486 ◽

pp. 165256 ◽

Cited By ~ 2

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

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A remark on ab initio indexing of electron backscatter diffraction patterns

Journal of Applied Crystallography ◽

10.1107/s1600576721009304 ◽

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.

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

Scripta Materialia ◽

10.1016/j.scriptamat.2011.09.044 ◽

2012 ◽

Vol 66 (2) ◽

pp. 69-72 ◽

Cited By ~ 12

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

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

Journal of Applied Crystallography ◽

10.1107/s1600576720014909 ◽

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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