Microstructure analysis of AZ31 magnesium alloy welds using phase-field models

Montiel, David; Liu, L.; Xiao, L.; Zhou, Yunhong; Provatas, Nikolas

doi:10.1016/j.actamat.2012.07.035

Cited by 56 publications

(22 citation statements)

References 39 publications

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“…These results suggest that an indirect coupling between thermal modeling of a cast ingot and local modeling of microstructure selection is a valid approach for spacing selection (see examples of such couplings with phase-field in Refs. 48,49). However, this type of coupling does not account for the history-dependent selection of spacing.…”

Section: Resultsmentioning

confidence: 99%

Three-Dimensional Multiscale Modeling of Dendritic Spacing Selection During Al-Si Directional Solidification

Tourret

Clarke

Imhoff

et al. 2015

JOM

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We present a three-dimensional extension of the multiscale dendritic needle network (DNN) model. This approach enables quantitative simulations of the unsteady dynamics of complex hierarchical networks in spatially extended dendritic arrays. We apply the model to directional solidification of Al-9.8 wt.%Si alloy and directly compare the model predictions with measurements from experiments with in situ x-ray imaging. We focus on the dynamical selection of primary spacings over a range of growth velocities, and the influence of sample geometry on the selection of spacings. Simulation results show good agreement with experiments. The computationally efficient DNN model opens new avenues for investigating the dynamics of large dendritic arrays at scales relevant to solidification experiments and processes.

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Section: Resultsmentioning

confidence: 99%

Three-Dimensional Multiscale Modeling of Dendritic Spacing Selection During Al-Si Directional Solidification

Tourret

Clarke

Imhoff

et al. 2015

JOM

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“…Dynamic (adaptive) remeshing techniques for PF calculations [117] -also applicable to atomistic phase-field-crystal calculations [6] -allow efficient simulations up to the scale of an entire dendritic array. Resulting simulations have shed light on several microstructure selection mechanisms [3,61,4,109,60,102], and have been coupled to larger-scale heat transfer models and probabilistic nucleation models to predict microstructure distribution in processes such as laser powder deposition [44] and welding [103].…”

Section: Computationally Intensive Phase-field Implementationsmentioning

confidence: 99%

Atomistic to continuum modeling of solidification microstructures

Karma

Tourret

2016

Current Opinion in Solid State and Materials Science

103

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a b s t r a c tWe summarize recent advances in modeling of solidification microstructures using computational methods that bridge atomistic to continuum scales. We first discuss progress in atomistic modeling of equilibrium and non-equilibrium solid-liquid interface properties influencing microstructure formation, as well as interface coalescence phenomena influencing the late stages of solidification. The latter is relevant in the context of hot tearing reviewed in the article by M. Rappaz in this issue. We then discuss progress to model microstructures on a continuum scale using phase-field methods. We focus on selected examples in which modeling of 3D cellular and dendritic microstructures has been directly linked to experimental observations. Finally, we discuss a recently introduced coarse-grained dendritic needle network approach to simulate the formation of well-developed dendritic microstructures. This approach reliably bridges the well-separated scales traditionally simulated by phase-field and grain structure models, hence opening new avenues for quantitative modeling of complex intra-and inter-grain dynamical interactions on a grain scale.Published by Elsevier Ltd.

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“…1c). For equiaxed mode of solidification, nucleation mechanisms need to be incorporated in the phase-field equations [47]. Software packages such as MATLAB [34], PARAVIEW [35], GNUPLOT [48] are generally used to visualize and analyze those complex morphologies in the following facets, which need further attention.…”

Section: Mesoscale: Phase-fieldmentioning

confidence: 99%

Predictive modeling of solidification during laser additive manufacturing of nickel superalloys: recent developments, future directions

Ghosh

2018

Mater. Res. Express

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Additive manufacturing (AM) processes produce parts with improved physical, chemical, and mechanical properties compared to conventional manufacturing processes. In AM processes, intricate part geometries are produced from multicomponent alloy powder, in a layer-by-layer fashion with multipass laser melting, solidification, and solid-state phase transformations, in a shorter manufacturing time, with minimal surface finishing, and at a reasonable cost. However, there is an increasing need for post-processing of the manufactured parts via, for example, stress relieving heat treatment and hot isostatic pressing to achieve homogeneous microstructure and properties at all times. Solidification in an AM process controls the size, shape, and distribution of the grains, the growth morphology, the elemental segregation and precipitation, the subsequent solid-state phase changes, and ultimately the material properties. The critical issues in this process are linked with multiphysics (such as fluid flow and diffusion of heat and mass) and multiscale (lengths, times and temperature ranges) challenges that arise due to localized rapid heating and cooling during AM processing. The alloy chemistry-process-microstructure-propertyperformance correlation in this process will be increasingly better understood through multiscale modeling and simulation.

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Microstructure analysis of AZ31 magnesium alloy welds using phase-field models

Cited by 56 publications

References 39 publications

Three-Dimensional Multiscale Modeling of Dendritic Spacing Selection During Al-Si Directional Solidification

Three-Dimensional Multiscale Modeling of Dendritic Spacing Selection During Al-Si Directional Solidification

Atomistic to continuum modeling of solidification microstructures

Predictive modeling of solidification during laser additive manufacturing of nickel superalloys: recent developments, future directions

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