A review of nonlinear FFT-based computational homogenization methods

M Schneider - Acta Mechanica, 2021 - Springer
Since their inception, computational homogenization methods based on the fast Fourier
transform (FFT) have grown in popularity, establishing themselves as a powerful tool …

Understanding plasticity in multiphase quenching & partitioning steels: Insights from crystal plasticity with stress state-dependent martensitic transformation

J Park, Y Hou, J Min, Z Hou, HN Han, B He… - International Journal of …, 2024 - Elsevier
This study develops a novel crystal plasticity (CP) model incorporating deformation-induced
martensitic transformation (DIMT) and transformation-induced plasticity (TRIP) effect to …

Insights from the MEDE program: An overview of microstructure–property linkages in the dynamic behaviors of magnesium alloys

Q Wei, KT Ramesh, TC Hufnagel, J Wilkerson… - Mechanics of …, 2021 - Elsevier
Magnesium (Mg) and its alloys have been the subject of intensive scientific research and
development in the communities of materials science and engineering, mechanical …

A fully coupled crystal plasticity-cellular automata model for predicting thermomechanical response with dynamic recrystallization in AISI 304LN stainless steel

J Park, M Rout, KM Min, SF Chen, MG Lee - Mechanics of Materials, 2022 - Elsevier
A microstructure-based multiscale framework was developed to physically correlate the
microstructure evolution and mechanical behavior of AISI 304LN stainless steel during the …

An efficient temperature-dependent crystal plasticity framework for pure magnesium with emphasis on the competition between slip and twinning

Y Hollenweger, DM Kochmann - International Journal of Plasticity, 2022 - Elsevier
Experimental evidence suggests that the formation of compressive twin bands and the
associated strain localization is a key driver behind the low ductility of magnesium (Mg) at …

Ensemble Kalman filter-based data assimilation for three-dimensional multi-phase-field model: Estimation of anisotropic grain boundary properties

A Yamanaka, Y Maeda, K Sasaki - Materials & Design, 2019 - Elsevier
Data assimilation (DA) has been used as a machine learning approach to estimate a
system's state and the unknown parameters in its numerical model by integrating observed …

Strain localization and dynamic recrystallization in polycrystalline metals: thermodynamic theory and simulation framework

CKC Lieou, HM Mourad, CA Bronkhorst - International Journal of Plasticity, 2019 - Elsevier
We describe a theoretical and computational framework for adiabatic shear banding (ASB)
and dynamic recrystallization (DRX) in polycrystalline materials. The Langer-Bouchbinder …

A new numerical framework for the full field modeling of dynamic recrystallization in a CPFEM context

DAR Sarrazola, DP Muñoz, M Bernacki - Computational Materials Science, 2020 - Elsevier
This work describes the coupling of a level-set (LS) based numerical framework for
microstructural evolutions modeling with a crystal plasticity finite element method (CPFEM) …

Recrystallization mechanisms, grain refinement, and texture evolution during ECAE processing of Mg and its alloys

LJ Kecskes, NM Krywopusk, Y Hollenweger… - Mechanics of …, 2021 - Elsevier
This article presents key findings from a study of the microstructural evolution and grain size
refinement of equal-channel angular extrusion (ECAE)-processed Mg and Mg-based alloys …

A computational approach to restoration phenomena during annealing of rolled Cu-2Be: recrystallization, grain growth and abnormal grain growth

A Kalaki, H Vafaeenezhad, D Mirahmadi… - … and Simulation in …, 2023 - iopscience.iop.org
In this study, an integrated paradigm was developed for the simulation of static
recrystallization (SRX) after cold rolling of a Cu-2Be alloy. The proposed framework also …