A crystal plasticity investigation of grain size-texture interaction in magnesium alloys

B Ravaji, SP Joshi - Acta Materialia, 2021 - Elsevier
This work investigates the microstructure-property linkages in magnesium (Mg) with an
emphasis on understanding interaction effects between the grain size, texture, and loading …

Crystal plasticity extended models based on thermal mechanism and damage functions: Application to multiscale modeling of aluminum alloy tensile behavior

P Hu, Y Liu, Y Zhu, L Ying - International Journal of Plasticity, 2016 - Elsevier
The mechanical anisotropic properties of aluminum alloy are studied using multi-level
approaches for strain-rate and temperature-sensitive large plastic deformation of …

Hierarchical multiscale modeling of plasticity in copper: From single crystals to polycrystalline aggregates

S Chandra, MK Samal, VM Chavan… - International Journal of …, 2018 - Elsevier
Modeling the deformation behavior of polycrystalline materials using the information
embedded at grain level is a recent research area of high interest. In view of this, an attempt …

Cooperative dislocations for pressure-dependent sequential deformation of multi-principal element alloys under shock loading

F Zhang, Y Ren, Z Pei, Q Gao, Z Lu, B Wang, Y Xue… - Acta Materialia, 2024 - Elsevier
Multi-principal element alloys (MPEAs) are promising materials for structural applications
under extreme conditions. Their outstanding mechanical properties are closely related to the …

Multi-scale crystal plasticity finite element model approach to modeling nickel-based superalloys

S Keshavarz, S Ghosh - Acta Materialia, 2013 - Elsevier
This paper develops a homogenized, activation energy-based crystal plasticity (AE-CP)
model for single-crystal Ni-based superalloys that can be implemented in simulations of …

[HTML][HTML] Multi-scale modeling method for polycrystalline materials considering grain boundary misorientation angle

Y Zhao, Q Song, H Ji, W Cai, Z Liu, Y Cai - Materials & Design, 2022 - Elsevier
Grain boundaries (GBs) are microstructures in polycrystalline materials, which influence the
mechanical properties of materials significantly. Simulation is an indispensable means to …

Improved ductility by coupled motion of grain boundaries in nanocrystalline B2-FeCo alloys

YL Li, X Cheng, WH Duan, WJ Qiang - Computational Materials Science, 2021 - Elsevier
Embedded-atom method (EAM) potential for the FeCo binary systems has been improved to
reproduce the antiphase boundary (APB) energies, crucial to the mechanical properties for …

Studying the micromechanical behaviors of a polycrystalline metal by artificial neural networks

W Dai, H Wang, Q Guan, D Li, Y Peng, CN Tomé - Acta Materialia, 2021 - Elsevier
Though physics-based crystal plasticity models are able to accurately predict the material
response under complex loading conditions, the high computational cost limits their …

A Machine Learning-based surrogate modeling framework for predicting the history-dependent deformation of dual phase microstructures

S Khandelwal, S Basu, A Patra - Materials Today Communications, 2021 - Elsevier
Abstract A Machine Learning (ML)-based surrogate modeling framework is developed to
predict the heterogeneous deformation behavior of dual phase microstructures. The …

Machine learning-aided parametrically homogenized crystal plasticity model (PHCPM) for single crystal Ni-based superalloys

G Weber, M Pinz, S Ghosh - Jom, 2020 - Springer
This article establishes a multiscale modeling framework for the parametrically
homogenized crystal plasticity model (PHCPM) for single crystal Ni-based superalloys. The …