Publication detail
Numerical microstructure model of NiTi wire reconstructed from 3D-XRD data
HELLER, Luděk KARAFIÁTOVÁ, Iva PETRICH, Lukas PAWLAS, Zbyněk SHAYANFARD, Pejman BENEŠ, Viktor SCHMIDT, Volker ŠITTNER, Petr
English title
Numerical microstructure model of NiTi wire reconstructed from 3D-XRD data
Type
journal article in Web of Science
Language
en
Original abstract
In this paper, the grain microstructure and strain partitioning in a polycrystalline NiTi wire subjected to tensile loading was reconstructed from an experimental 3D-XRD dataset. The reconstruction of a volume containing more than 8000 stressed grains involved optimization with respect to both the geometrical features and material elastic properties. The geometrical features of the microstructure were reconstructed using Laguerre tessellations based on the experimental 3D-XRD dataset. Two different algorithms fitting Laguerre tessellations were applied in order to assess the sensitivity of the reconstruction to the choice of the algorithm. The material properties in terms of elastic anisotropy were refined from an initial published value to minimize the mismatch between experiment and simulation using an optimization algorithm based on linear elasticity simulations. As a result of this, we constructed a numerical microstructure model that statistically matches the experimentally probed material in terms of positions and sizes of grains as well as partitioning of elastic strain and stress in the microstructure (average elastic properties and standard deviations of piecewise constant components of elastic strain and stress tensors in grains).
English abstract
In this paper, the grain microstructure and strain partitioning in a polycrystalline NiTi wire subjected to tensile loading was reconstructed from an experimental 3D-XRD dataset. The reconstruction of a volume containing more than 8000 stressed grains involved optimization with respect to both the geometrical features and material elastic properties. The geometrical features of the microstructure were reconstructed using Laguerre tessellations based on the experimental 3D-XRD dataset. Two different algorithms fitting Laguerre tessellations were applied in order to assess the sensitivity of the reconstruction to the choice of the algorithm. The material properties in terms of elastic anisotropy were refined from an initial published value to minimize the mismatch between experiment and simulation using an optimization algorithm based on linear elasticity simulations. As a result of this, we constructed a numerical microstructure model that statistically matches the experimentally probed material in terms of positions and sizes of grains as well as partitioning of elastic strain and stress in the microstructure (average elastic properties and standard deviations of piecewise constant components of elastic strain and stress tensors in grains).
Keywords in English
elastic anisotropy; elasticity; microstructure; microstructure reconstruction; 3D-XRD; Laguerre tessellation; finite element method
Released
15.05.2020
Publisher
IOP PUBLISHING LTD
Location
BRISTOL
ISSN
0965-0393
Volume
28
Number
5
Pages from–to
055007–055007
Pages count
25
BIBTEX
@article{BUT168271,
author="Luděk {Heller} and Zbyněk {Pawlas} and Pejman {Shayanfard} and Viktor {Beneš} and Petr {Šittner},
title="Numerical microstructure model of NiTi wire reconstructed from 3D-XRD data",
year="2020",
volume="28",
number="5",
month="May",
pages="055007--055007",
publisher="IOP PUBLISHING LTD",
address="BRISTOL",
issn="0965-0393"
}