Dual-scale phase-field simulation of Mg-Al alloy solidification

Monas, Alexander; Shchyglo, Oleg; Höche, Daniel; Tegeler, Marvin; Steinbach, Ingo

doi:10.1088/1757-899x/84/1/012069

Cited by 9 publications

(2 citation statements)

References 14 publications

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“…The particle distribution is defined randomly, whereas the nucleation density is set to 5•10 −22 m −3 (γ-phase), respectively, 5•10 −25 m −3 (γ'-phase). The size distribution of the particles is defined by a normal distribution function which is presented in Equation ( 9), details can be found in [31].…”

Section: Applied Input Datamentioning

confidence: 99%

Numerical Study of Epitaxial Growth after Partial Remelting during Selective Electron Beam Melting in the Context of Ni–Al

Schaar

Steinbach

Tegeler³

2021

Metals

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In the selective electron beam melting approach an electron beam is used to partially melt the material powder. Based on the local high energy input, the solidification conditions and likewise the microstructures strongly deviate from conventional investment casting processes. The repeated energy input into the material during processing leads to the partial remelting of the already existing microstructure. To closer investigative this effect of partial remelting, in the present work the phase-field model is applied. In the first part the solidification of the referenced Ni–Al system is simulated in respect to selective electron beam melting. The model is calibrated such to reproduce the solidification kinetics of the superalloy CMSX-4. By comparison to experimental observations reported in the literature, the model is validated and is subsequently applied to study the effect of partial remelting. In the numerical approach the microstructures obtained from the solidification simulations are taken as starting condition. By systematically varying the temperature of the liquid built layer, the effect of remelting on the existing microstructure can be investigated. Based on these results, the experimental processing can be optimized further to produce parts with significantly more homogenous element distributions.

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Section: Applied Input Datamentioning

confidence: 99%

Numerical Study of Epitaxial Growth after Partial Remelting during Selective Electron Beam Melting in the Context of Ni–Al

Schaar

Steinbach

Tegeler³

2021

Metals

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“…Figure 6.14 shows a simulation of Mg-Al alloy solidification on a grid of 300 3 grid points. Further information can be found in previous publications [66,67,1].…”

Section: Mg-al Alloy Solidificationmentioning

confidence: 99%

Massively Parallel Multiphase Field Simulations

Tegeler¹,

Sutmann

Monas³

Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering

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The multiphase field method is a commonly used tool to simulate the evolution of microstructure during materials processing. Even when using a concept called active parameter tracking, which substantially reduces the computational complexity, the resource demands of the multiphase field method remain significant in both time and memory. A hybrid-parallelization is presented, that combines MPI and OpenMP and allows considerably larger system sizes. Due to the utilization of active parameter tracking the computational load can be heterogeneously distributed in the system, which makes load-balancing necessary in order to obtain an efficient parallelization. In this thesis two different load-balancing schemes are presented. The first uses graphpartitioning and an adaptive sub-domain decomposition. The second is based on the multiphase field method itself. Results are presented for performance benchmarks as well as for a variety of applications, including grain growth in polycrystalline materials with hundreds of thousands of different phase fields and Mg-Al alloy solidification as well as a coupling with the Lattice-Boltzmann method. One of the load-balancing schemes is also applied to a cell-based particle method. In addition a way of utilizing the multiphase field method is shown that allows the construction of microstructures and the corresponding Laguerre generator points with a given grain size distribution. 4Declaration/Erklärung I, Marvin Tegeler, born on July, 31st, 1985 in Gelsenkirchen, hereby declare that this dissertation is my own work.

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Phase-Field Study of the History-Effect of Remelted Microstructures on Nucleation During Additive Manufacturing of Ni-Based Superalloys

Uddagiri

Shchyglo

Steinbach

et al. 2023

Metall Mater Trans A

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In the current work we employ multi-phase-field simulations to understand the effect of remelting on microstructure evolution, especially on nucleation of new grains during selective electron beam melting (SEBM) of Ni-based super alloy. The phase-field model is coupled to both mass and heat transport phenomena including release of latent heat of solidification. We run remelting simulations in both as cast and homogenized conditions. Experimental observations show that remelting triggers the nucleation of new grains at the melt pool border. The simulation results shed more light on the local conditions at the melt pool border thereby enhancing our understanding of the mechanisms responsible for the nucleation. The simulation results are validated with experimental results obtained for the Ni–20.5 mol pct Al model binary alloy.

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Dual-scale phase-field simulation of Mg-Al alloy solidification

Cited by 9 publications

References 14 publications

Numerical Study of Epitaxial Growth after Partial Remelting during Selective Electron Beam Melting in the Context of Ni–Al

Numerical Study of Epitaxial Growth after Partial Remelting during Selective Electron Beam Melting in the Context of Ni–Al

Massively Parallel Multiphase Field Simulations

Phase-Field Study of the History-Effect of Remelted Microstructures on Nucleation During Additive Manufacturing of Ni-Based Superalloys

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