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在摩擦过程中,通过机械不连续动态再结晶模型计算预测谷物特征
Prachi Sharma1, Deepak Dhariwal2, Amit Arora3
1Advanced Materials Processing Research Group, Materials Engineering Department, Indian Institute of Technology Gandhinagar, Palaj, 382355, Gujarat, India.
Scientific reports
|February 10, 2026
概括
本研究介绍了一个计算框架,用于预测摩擦冲动接和加工 (FSWP) 中的微结构特征. 不连续动态再结晶 (DDRX) 模型准确预测颗粒大小,与实验数据相比,达到97%的准确性.
科学领域:
- 材料科学 材料科学 材料科学
- 计算建模 计算建模
- 金工业是一种金工业.
背景情况:
- 摩擦混合接和加工 (FSWP) 涉及高应变和高温度,导致动态再结晶和谷物生长.
- 重结晶的颗粒结构显著影响FSWP材料的最终机械性能.
- 预测微结构特征对于推进FSWP建模和估计机械性能至关重要.
研究的目的:
- 开发一个计算框架,用于FSWP期间预测微结构特征.
- 利用不连续动态再结晶 (DDRX) 原理来建模塑料变形,核和生长.
- 将热传递和材料流 (HTMF) 模型的输出集成到 DDRX 框架中.
主要方法:
- 采用基于不连续动态再结晶 (DDRX) 原理的计算框架.
- 从现有的HTMF模型中利用计算的应变,应变速率和温度作为输入参数.
- 预测的微观结构特征包括平均颗粒大小,脱位密度,泰勒因子,新颗粒形成和颗粒大小分布.
主要成果:
- DDRX模型成功地预测了各种微观结构特征.
- 来自DDRX模型的粒度大小预测在与实验测量相对验证时显示出惊人的97%的准确性.
- 该研究证明了DDRX模型在FSWP中用于微结构特征预测的可靠性.
结论:
- 开发的计算框架有效地预测FSWP中的微结构特征.
- DDRX模型提供了一种可靠的方法来估计粒径和其他微观结构特征.
- 使用DDRX精确的微结构预测增强了FSWP建模用于机械性质估计的能力.
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