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The variant graph is a new, hybrid algorithm that combines the strengths of established global grain graph and local neighbor level voting approaches, while alleviating their shortcomings, to reconstruct parent grains from orientation maps…

材料科学 · 物理学 2022-01-07 Ralf Hielscher , Tuomo Nyyssönen , Frank Niessen , Azdiar A. Gazder

Materials with an allotropic phase transformation can result in the formation of microstructures where grains have orientation relationships (ORs) determined by the transformation history. These microstructures influence the final material…

材料科学 · 物理学 2021-10-01 Ruth Birch , Thomas Benjamin Britton

This study details the development and validation of a new algorithm that determines the dominant habit plane of a transformed child phase from orientation maps of a single planar cross-section. The method describes the habit plane in terms…

材料科学 · 物理学 2023-03-15 Tuomo Nyyssonen , Azdiar A. Gazder , Ralf Hielscher , Frank Niessen

Establishing structure-property linkages in polycrystalline materials requires representative two- (2D) and three- (3D) dimensional microstructural inputs for full-field simulations. A core objective of microstructure characterization and…

The architectures of biological hard materials reveal finely tailored complex assemblies of mineral crystals. Numerous recent studies associate the design of these local assemblies with impressive macroscopic response. Reproducing such…

材料科学 · 物理学 2018-07-13 Hortense Le Ferrand , Florian Bouville , André R. Studart

Three-dimensional (3D) X-ray diffraction methods were used to analyze the evolution of the load-induced rearrangements of monoclinic twin microstructures within bulk nickel-titanium specimens in 3D and across six orders of magnitude in…

Emerging microstructural characterization methods have received increased attention owing to their promise of relatively inexpensive and rapid measurement of polycrystalline surface morphology and crystallographic orientations. Among these…

材料科学 · 物理学 2025-02-27 Amit Singh , Mark Obstalecki , Darren C. Pagan , Michael Glavicic , Matthew Kasemer

We study the mechanics of temperature-driven reconstructive martensitic transformations in crystalline materials, within the framework of nonlinear elasticity theory. We focus on the prototypical case of the square-hexagonal transition in…

材料科学 · 物理学 2025-05-23 Edoardo Arbib , Noemi Barrera , Paolo Biscari , Giovanni Zanzotto

Deformation microstructure heterogeneities play a pivotal role during dislocation patterning and interface network restructuring. Thus, they affect indirectly how an alloy recrystallizes if at all. Given this relevance, it has become common…

计算工程、金融与科学 · 计算机科学 2020-06-24 Markus Kühbach , Franz Roters

Microstructure reconstruction has been an essential part of computational material engineering to reveal the relationship between microstructures and material properties. However, finding a general solution for microstructure…

材料科学 · 物理学 2023-01-24 Kang-Hyun Lee , Gun Jin Yun

A stochastic 3D microstructure model for polycrystals is introduced which incorporates two types of twin grains, namely neighboring and inclusion twins. They mimic the presence of crystal twins in $\gamma$-TiAl polycrystalline…

An effective model is identified for thin perfectly plastic plates whose microstructure consists of the periodic assembling of two elastoplastic phases, as the periodicity parameter converges to zero. Assuming that the thickness of the…

偏微分方程分析 · 数学 2022-12-06 Marin Bužančić , Elisa Davoli , Igor Velčić

It is often observed that martensitic microstructures in adjacent polycrystal grains are related. For example, micrographs of Arlt exhibit propagation of layered structures across grain boundaries in the cubic-to-tetragonal phase…

材料科学 · 物理学 2017-08-11 John M. Ball , Carsten Carstensen

Stochastic microstructure reconstruction involves digital generation of microstructures that match key statistics and characteristics of a (set of) target microstructure(s). This process enables computational analyses on ensembles of…

材料科学 · 物理学 2023-01-02 Anindya Bhaduri , Ashwini Gupta , Audrey Olivier , Lori Graham-Brady

The forward transformation from face centered cubic austenite to body centered cubic/tetragonal martensite in ferrous alloys can significantly in- fluence the microstructure and mechanical properties of the material. Inferring possible high…

材料科学 · 物理学 2018-12-05 Alexander F. Brust , Stephen R. Niezgoda , Victoria A. Yardley , Eric J. Payton

Microstructure reconstruction is an important cornerstone to the inverse materials design concept. In this work, a general algorithm is developed to reconstruct a three-dimensional microstructure from given descriptors. Based on…

材料科学 · 物理学 2021-10-26 Paul Seibert , Alexander Raßloff , Marreddy Ambati , Markus Kästner

Spatial imaging of magnetic stray fields from magnetic materials is a useful tool for identifying the underlying magnetic configurations of the material. However, transforming the magnetic image into a magnetization image is an ill-poised…

介观与纳米尺度物理 · 物理学 2024-12-30 David A. Broadway , Mykhailo Flaks , Adrien E. E. Dubois , Patrick Maletinsky

Properties of crystalline materials are closely linked to microstructure arising from the spatial arrangement, orientation, and phase of nanocrystals. Rapid characterization of crystalline microstructure can accelerate the identification of…

材料科学 · 物理学 2026-02-16 Kwanghwi Je , Ellis R. Kennedy , Sungin Kim , Yao Yang , Erik H. Thiede

Shape memory alloys inherit their macroscopic properties from their mesoscale microstructure originated from the martensitic phase transformation. In a cubic to orthorhombic transition, a single variant of marten- site can have a compatible…

材料科学 · 物理学 2020-09-23 Oguz Umut Salman , Alphonse Finel , Remi Delville , Dominique Schryvers

Microstructure reconstruction is an important and emerging aspect of computational materials engineering and multiscale modeling and simulation. Despite extensive research and fast progress in the field, the application of descriptor-based…

材料科学 · 物理学 2023-06-16 Paul Seibert , Markus Husert , Maximilian P. Wollner , Karl A. Kalina , Markus Kästner
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