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arXiv 2208.08069cond-mat.mtrl-sci
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驱动力诱导的Ni中晶界迁移热行为转变

Driving force induced transition in thermal behavior of grain boundary migration in Ni

University of Manitoba(曼尼托巴大学)

Xinyuan Song, Chuang Deng

AI总结:

本研究通过镍双晶原子模拟,揭示驱动力可降低晶界迁移活化能、使热行为转变温度向低温偏移,修正现有理论模型以解释反驱动力现象,为复杂环境下的晶界迁移研究提供参考。

摘要:

晶界(GB)迁移表现出引人关注的反热行为(或称非阿伦尼乌斯行为),温度和驱动力在其中发挥着关键作用。通过对镍双晶开展原子模拟,我们研究了晶界迁移率随温度与驱动力变化的规律。结果显示,晶界迁移率随温度升高先上升,达到转变温度(Ttrans)后下降,且值得注意的是,Ttrans与晶界迁移相关的活化能(Q)呈线性关系。通过调节驱动力,我们发现驱动力可有效降低Q,导致Ttrans向更低温度偏移。此外,更高的驱动力能在更低温度下激活更多迁移模式,可能引发晶界迁移热行为的转变。本研究支持了基于经典热激活和断错形核的现有晶界迁移理论模型。我们还纳入驱动力的影响,对现有模型进行了修正。修正后的模型不仅能描述驱动力对晶界迁移热行为的影响,还能解释晶界迁移中观测到的“反驱动力”现象。本研究有望为探究更复杂约束和环境下的实际晶界迁移提供有价值的见解。

英文摘要:

Grain boundary (GB) migration exhibits intriguing anti-thermal behavior (or non-Arrhenius behavior), with the temperature and driving force playing crucial roles. Through atomistic simulations on nickel bicrystals, we investigate the change in GB mobility with variations in both temperature and driving force. Our results reveal that the GB mobility initially increases with temperature and subsequently decreases after reaching the transition temperature (Ttrans), and, notably, Ttrans exhibits a linear relationship with the activation energy (Q) associated with GB migration. By modulating the driving force, we found that the driving force could effectively lower Q, resulting in the shift of Ttrans towards lower temperatures. Additionally, higher driving forces were found to activate more migration modes at lower temperatures, potentially leading to a transition in the thermal behavior of GB migration. Our work supports the existing theoretical models for GB migration based on both classical thermal activation and disconnection nucleation. Furthermore, we refined the existing model by incorporating the influence of the driving force. The modified model can not only describe the effect of driving force on the thermal behavior of GB migration but also accounts for the observed "anti-driving force" phenomenon in GB migration. Our research has the potential to offer valuable insights for investigating realistic GB migration under more intricate constraints and environments.

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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