Large scale 3-D phase-field simulation of coarsening in Ni-base superalloys

Rajendran, M.; Shchyglo, Oleg; Steinbach, Ingo

doi:10.1051/matecconf/20141411001

Cited by 11 publications

(3 citation statements)

References 22 publications

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“…Experimental micrographs are cropped to the same size as the 2D cuts from simulations to eliminate the influence of observation window size. The initial microstructure in figure 3 is derived from simulating the precipitation hardening heat treatment process of a Ni-base SXs [36], and exhibits a typical morphology of Ni-base SXs where the cuboidal γ ′ precipitates with similar size and shape are distributed homogeneously in the γ matrix. Comparing to the experiment, the simulated γ ′ precipitates hold rounder corners.…”

Section: Correlation Between Simulation Results and Experimentsmentioning

confidence: 99%

3D phase-field simulations to machine-learn 3D information from 2D micrographs

JIANG

Ali²,

Roslyakova³

et al. 2023

Modelling Simul. Mater. Sci. Eng.

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A novel approach is developed to support retrieval of 3D information from 2D experimental micrographs. The approach utilizes 3D phase-field simulations to train an artificial intelligence (AI) machine. In a first step, the phase-field simulations have to be validated to reproduce microstructural features which characterize elementary processes which govern processing and high temperature service exposure. The qualified 3D simulation setup is then applied to produce a high number of 2D simulated micrographs by automated sectioning. These simulated micrographs are then used to train a gradient boosting regression model together with the 3D information from the simulations. In the final step, the model is applied to 2D experimental micrographs to retrieve the hidden 3D features. The approach is generally applicable to all kinds of metallic materials, minerals or ceramics which can be treated quantitatively by phase-field simulations. In this paper we concentrate on the process of directional coarsening, referred to as "rafting", in the field of creep of single crystal Ni-base superalloys. The experimental and modeling aspects of the evolution of the volume fraction of the $\gamma'$ phase during long term creep are discussed.

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Section: Correlation Between Simulation Results and Experimentsmentioning

confidence: 99%

3D phase-field simulations to machine-learn 3D information from 2D micrographs

JIANG

Ali²,

Roslyakova³

et al. 2023

Modelling Simul. Mater. Sci. Eng.

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“…Since both γ and γ′ phases have an FCC-like structure, only the volumetric contribution of the lattice mismatch strain is set to a value of −0.003, based on experimental observation [33]. Furthermore, a γ γ − ′ interfacial energy of 80 mJ m −2 is used, which is the same as [34]. In order to maintain the stability of γ matrix channels and to prevent the coalescence of γ′ precipitates as the case in the experiment, we use the wetting condition at γ γ γ − − ′ ′ triple junctions that creates repulsion between γ′ particles by setting the interfacial energy between γ′ particles to be 3 times higher than the value for the γ γ − ′ interface.…”

Section: Phase-field Methodsmentioning

confidence: 99%

Primary combination of phase-field and discrete dislocation dynamics methods for investigating athermal plastic deformation in various realistic Ni-base single crystal superalloy microstructures

Gao¹,

Rajendran²,

Fivel³

et al. 2015

Modelling Simul. Mater. Sci. Eng.

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Three-dimensional discrete dislocation dynamics (DDD) simulations in combination with the phase-field method are performed to investigate the influence of different realistic Ni-base single crystal superalloy microstructures with the same volume fraction of γ′ precipitates on plastic deformation at room temperature. The phase-field method is used to generate realistic microstructures as the boundary conditions for DDD simulations in which a constant high uniaxial tensile load is applied along different crystallographic directions. In addition, the lattice mismatch between the γ and γ′ phases is taken into account as a source of internal stresses. Due to the high antiphase boundary energy and the rare formation of superdislocations, precipitate cutting is not observed in the present simulations. Therefore, the plastic deformation is mainly caused by dislocation motion in γ matrix channels. From a comparison of the macroscopic mechanical response and the dislocation evolution for different microstructures in each loading direction, we found that, for a given γ′ phase volume fraction, the optimal microstructure should possess narrow and homogeneous γ matrix channels.

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“…The MPF method as developed by the last author and coworkers is a powerful approach to moving boundary problems in general [19]. It allows us to address the solidification and coarsening of metals [27,28] and is compatible with transport methods in bulk phases, for example, the Lattice Boltzmann method applied to microfluidity [29,30]. Each grain α is represented by one scalar field ϕ α .…”

Section: Mpf Modelmentioning

confidence: 99%

Multi-phase field modeling and simulation of magnetically driven grain boundary migration in SmCo polycrystals

Huo,

Schiedung,

et al. 2023

J. Phys. D: Appl. Phys.

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Permanent magnets become increasingly important due to the growing demand for wind turbines and electric motors. Their functional properties depend critically on their microstructure and further improvements in performance and processing ask for a better understanding of the microstructure evolution during sintering or heat treatment. On the one hand, the coupling between structure and magnetic degrees of freedom can be used for optimization by field-assisted selective grain growth. On the other hand, the simultaneous modeling of the structural and magnetic degrees of freedom at the microscale is not possible with most simulation packages. Therefore, we implement micromagnetic equations into the Multi-Phase Field (MPF) method in the open-source software project OpenPhase to treat both degrees on an equal footing. We apply our method to Sm2Co17 polycrystal films and discuss how field assisted grain-growth allows to optimize the microstructure of permanent magnets.

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Large scale 3-D phase-field simulation of coarsening in Ni-base superalloys

Cited by 11 publications

References 22 publications

3D phase-field simulations to machine-learn 3D information from 2D micrographs

3D phase-field simulations to machine-learn 3D information from 2D micrographs

Primary combination of phase-field and discrete dislocation dynamics methods for investigating athermal plastic deformation in various realistic Ni-base single crystal superalloy microstructures

Multi-phase field modeling and simulation of magnetically driven grain boundary migration in SmCo polycrystals

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