Multiscale prediction of microstructure length scales in metallic alloy casting

B Bellon, AK Boukellal, T Isensee, OM Wellborn… - Acta Materialia, 2021 - Elsevier
Microstructural length scales, such as dendritic spacings in cast metallic alloys, play an
essential role in the properties of structural components. Therefore, quantitative prediction of …

Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations

J Yeom, T Stan, S Hong, PW Voorhees - Acta Materialia, 2021 - Elsevier
The ability to quickly analyze large imaging datasets is vital to the widespread adoption of
modern materials characterization tools, and thus the development of new materials. Image …

Quantitative three-dimensional phase-field modeling of dendritic solidification coupled with local ensemble transform Kalman filter

K Takahashi, A Yamanaka - Computational Materials Science, 2021 - Elsevier
Prediction of dendrite growth during alloy solidification is important for controlling the
microstructures and mechanical properties of alloys. To this end, quantitative phase-field …

Continually reactivating iterative-projection method for instantiating microstructure from two-point statistics

X Hu, J Zhao, Y Chen, J Li, Z Wang, J Wang - Acta Materialia, 2022 - Elsevier
Processing-structure (PS) linkages play a significant role in materials development.
Nevertheless, currently there is a fascinating but of bottleneck task in terms of instantiating …

Segmentation of tomography datasets using 3D convolutional neural networks

J James, N Pruyne, T Stan, M Schwarting… - Computational Materials …, 2023 - Elsevier
Dendritic microstructures are ubiquitous in nature and are the primary solidification
morphologies in metallic materials. Techniques such as X-ray computed tomography (XCT) …

Statistical modeling of microstructure evolution in a Ti-6Al-4V alloy during isothermal compression

E Hoar, S Sahoo, M Mahdavi, S Liang, S Roy… - Acta Materialia, 2021 - Elsevier
A statistical continuum model is developed in the present study which uses microstructural
information for a two-phase Ti-6Al-4V alloy to simulate the microstructure evolution during …

Tag-and-Trace Method of α-Al Crystals Applied to Study Solidification and Casting of Aluminum Alloys

J Santos, AEW Jarfors, AK Dahle - Metallurgical and Materials …, 2022 - Springer
In this study, a new tag-and-trace method of α-Al crystals was developed and used to study
the dissolution of a rotating Al-3Si-0.15 Ti cylinder immersed into a superheated commercial …

Reconstruction of dendritic growth by fast tomography and phase field filtering

H Yasuda, A Nishiguchi, H Xue… - IOP Conference …, 2023 - iopscience.iop.org
Three dimensional models of dendritic structures during solidification are valuable for
building physical models, validating simulated results, estimating some properties such as …

3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization

J James, N Pruyne, T Stan, M Schwarting… - arXiv preprint arXiv …, 2022 - arxiv.org
Dendritic microstructures are ubiquitous in nature and are the primary solidification
morphologies in metallic materials. Techniques such as x-ray computed tomography (XCT) …

The Evolution of Complex Microstructures Through Morphological Characterization and Phase-Field Simulation

K Elder - 2021 - search.proquest.com
Complex microstructures are ubiquitous in nature. The evolution of these microstructures
alters their morphology and topology and thus very often dictates material properties, such …