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arXiv 2602.16701cond-mat.mtrl-sci
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利用整合的PRISMS模拟框架理解Mg-Zn-Ca合金静态再结晶的动力学

Understanding the kinetics of static recrystallization in Mg-Zn-Ca alloys using an integrated PRISMS simulation framework

University of Michigan(密歇根大学)

David Montiel, Philip Staublin, Supriyo Chakraborty, Tracy Berman, Chaitali Patil, Michael Pilipchuk, Veera Sundararaghavan, John Allison, Katsuyo Thornton

AI总结:

本研究利用整合的PRISMS模拟框架,通过实验数据验证,探讨Mg-Zn-Ca合金再结晶动力学及影响因素

摘要:

再结晶是一种现象,即塑性变形的多晶微结构在高位错密度下转变为另一种低位错密度的结构。这种演变由位错中的储存能量驱动,而不是仅由晶界能驱动的晶粒生长。在定量建模再结晶时的一个困难是材料参数的不确定性,这可以通过将实验数据整合到模拟中来解决。在本工作中,我们将Mg-3Zn-0.1Ca wt.%合金的模拟静态再结晶动力学与涉及热机械加工后随时间测量再结晶分数的实验进行比较。通过结合晶体塑性软件和相场模型(分别称为PRISMS-Plasticity和PRISMS-PF)在一个整合的计算材料工程框架中进行模拟。在20%应变和350°C退火时,模型能准确描述再结晶动力学直到一个依赖于位错移动的时间尺度因子。虽然平均晶界移动性和塑性功转换为储存能量的分数并不精确已知,但通过将模拟拟合到实验数据,我们表明如果知道塑性功转换为储存能量的分数,平均晶界移动性可以确定,反之亦然。对于较低的退火温度,我们观察到在再结晶晚期阶段模型与实验之间存在不一致,其中实验中出现再结晶动力学减缓。我们讨论了可能的减缓来源,并提出了需要在模型中考虑的额外物理机制以提高其预测能力。

英文摘要:

Recrystallization is a phenomenon in which a plastically deformed polycrystalline microstructure with a high dislocation density transforms into another that has low dislocation density. This evolution is driven by the stored energy in dislocations, rather than grain growth driven by grain boundary energy alone. One difficulty in quantitative modeling of recrystallization is the uncertainty in material parameters, which can be addressed by integration of experimental data into simulations. In this work, we compare simulated static recrystallization dynamics of a Mg-3Zn-0.1Ca wt.% alloy to experiments involving thermomechanical processing followed by measurements of the recrystallization fraction over time. The simulations are performed by combining PRISMS software for crystal plasticity and phase-field models (PRISMS-Plasticity and PRISMS-PF, respectively) in an integrated computational materials engineering framework. At 20% strain and annealing at 350 °C, the model accurately describes recrystallization dynamics up to a mobility-dependent time scale factor. While the average grain boundary mobility and the fraction of plastic work converted into stored energy are not precisely known, by fitting simulations to experimental data, we show that the average grain boundary mobility can be determined if the fraction of plastic work converted to stored energy is known, or vice versa. For low annealing temperatures, we observe a discrepancy between the model and experiments in the late stages of recrystallization, where a slowdown in recrystallization kinetics occurs in the experiments. We discuss possible sources of this slowdown and propose additional physical mechanisms that need to be accounted for in the model to improve its predictions.

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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