2018
DOI: 10.1016/j.commatsci.2018.03.015
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Phase field benchmark problems for dendritic growth and linear elasticity

Abstract: We present the second set of benchmark problems for phase field models that are being jointly developed by the Center for Hierarchical Materials Design (CHiMaD) and the National Institute of Standards and Technology (NIST) along with input from other members in the phase field community. As the integrated computational materials engineering (ICME) approach to materials design has gained traction, there is an increasing need for quantitative phase field results. New algorithms and numerical implementations incr… Show more

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Cited by 31 publications
(15 citation statements)
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“…As discussed in the introduction, open-source frameworks for phase-field modeling are increasing in popularity. To compare the performance of PRISMS-PF to other such frameworks, we reference results that have been uploaded to the PFHub phasefield benchmarking website for 2D dendritic solidification in a pure material [27][28][29] . Note that this benchmark problem can be solved to reasonable accuracy using less than 20,000 DOF, a small enough problem size that the advantage of the explicit time stepping scheme in PRISMS-PF over implicit/semi-implicit Table 1.…”
Section: Computational Cost: Prisms-pf Vs Other Open-source Frameworkmentioning
confidence: 99%
“…As discussed in the introduction, open-source frameworks for phase-field modeling are increasing in popularity. To compare the performance of PRISMS-PF to other such frameworks, we reference results that have been uploaded to the PFHub phasefield benchmarking website for 2D dendritic solidification in a pure material [27][28][29] . Note that this benchmark problem can be solved to reasonable accuracy using less than 20,000 DOF, a small enough problem size that the advantage of the explicit time stepping scheme in PRISMS-PF over implicit/semi-implicit Table 1.…”
Section: Computational Cost: Prisms-pf Vs Other Open-source Frameworkmentioning
confidence: 99%
“…The first set of these benchmarks was published in 2017 by Jokisaari et al [45], consisting of an Ostwald ripening model and a spinodal decomposition model with different geometries of simulation domain and two different adaptive time stepping techniques. The second set of benchmarks [46] comprises a study of dendritic growth model and a multiphysics model for an elastically constrained precipitate, where the bifurcation of precipitate shape versus the L parameter (characteristic ratio between elastic and interfacial energies [47]) is stressed. On the dendritic growth, similar benchmark studies was conducted by Karma and Rappel [48] in developing quantitative phase-field schemes for solidification studies.…”
Section: Introductionmentioning
confidence: 99%
“…On the dendritic growth, similar benchmark studies was conducted by Karma and Rappel [48] in developing quantitative phase-field schemes for solidification studies. In this work we present and apply benchmarks on solid-state precipitation, similar to the latter benchmarks of Jokisaari et al [46], but with a focus on a chemo-mechanical coupling effect that features cross-coupled numerical solutions for diffusion and mechanical problems.…”
Section: Introductionmentioning
confidence: 99%
“…The current PFHub deployment [12] focuses on improving cross-collaboration between phase-field code developers and practitioners by providing a standardized set of benchmark problems [13,14] and a workflow for uploading and comparing benchmark results from different phase-field codes.…”
Section: Introductionmentioning
confidence: 99%