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arXiv 2602.10316cond-mat.mtrl-sciphysics.comp-ph
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大规模并行相场代码的性能评估:定向固结

Benchmarking of Massively Parallel Phase-Field Codes for Directional Solidification

Northeastern University(东北大学);University of Michigan(密歇根大学);Lawrence Livermore National Laboratory(劳伦斯利弗莫尔国家实验室)

Jiefu Tian, David Montiel, Kaihua Ji, Trevor Lyons, Jason Landini, Katsuyo Thornton, Alain Karma

AI总结:

本文比较了两种先进的相场代码在模拟实验相关条件下合金固结的性能,评估了其在2D和3D中枝晶形态、初级间距和尖端动力学的预测能力,以及数值收敛性和计算性能。

摘要:

我们呈现了一个详细的基准比较,比较了两种最先进的相场实现,用于模拟在实验相关条件下合金固结。研究调查了在高速固结条件下Al-3wt%Cu和在微重力条件下SCN-0.46wt%香草酚的定向固结,来自NASA DECLIC-DSI-R实验。两种代码,一种采用有限差分离散化和均匀网格及GPU加速(GPU-PF),另一种采用有限元离散化和自适应网格和CPU并行化(PRISMS-PF),解决相同的定量相场公式,该公式包含反陷阱电流以模拟稀释合金的固结。我们评估了每个代码对枝晶形态、初级间距和尖端动力学的预测,以及它们的数值收敛性和计算性能。尽管现有的基准问题主要集中在简化或小规模模拟上,但它们不反映使用实验相关时间和长度尺度所带来的计算和建模挑战。我们的结果提供了一个实用框架,用于评估相场代码性能,以及验证和促进其在需要与真实实验数据集成的集成计算材料工程(ICME)工作流程中的应用。

英文摘要:

We present a detailed benchmark comparing two state-of-the-art phase-field implementations for simulating alloy solidification under experimentally relevant conditions. The study investigates the directional solidification of Al-3wt%Cu under high-velocity solidification conditions and SCN-0.46wt% camphor under microgravity conditions from National Aeronautics and Space Administration (NASA) DECLIC-DSI-R experiments. Both codes, one employing finite-difference discretization with uniform mesh and GPU-acceleration (GPU-PF) and the other one employing finite-element discretization with adaptive-mesh and CPU-parallelization (PRISMS-PF), solve the same quantitative phase-field formulation that incorporates an anti-trapping current for the solidification of dilute alloys. We evaluate the predictions of each code for dendritic morphology, primary spacing, and tip dynamics in both 2D and 3D, as well as their numerical convergence and computational performance. While existing benchmark problems have primarily focused on simplified or small-scale simulations, they do not reflect the computational and modeling challenges posed by employing experimentally relevant time and length scales. Our results provide a practical framework for assessing phase-field code performance as well as validating and facilitating their application in integrated computational materials engineering (ICME) workflows that require integration with realistic experimental data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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