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A mechanism-based quantitative multi-scale framework for investigating irradiation hardening of tungsten at low temperature
Materials Science and Engineering: A ( IF 6.4 ) Pub Date : 2020-01-13 , DOI: 10.1016/j.msea.2020.138941
Yuanyuan Wang , Xin Sun , Jijun Zhao

We present the development and validation of a mechanism-based multi-scale modeling framework to quantitatively link the irradiation defect evolution kinetics at the microscopic scale to the macroscopic yield strength and flow stress evolution of tungsten irradiated at low temperature (0.08 < T/Tm < 0.18, where Tm is the melting point and is equal to 3673 K). The mechanism-based strength model, proposed as the superposition of thermal softening and modified dispersed barrier hardening, is developed to understand the underlying strengthening mechanisms. The thermal softening exponent as defined in the Johnson-Cook model is obtained by fitting unirradiated yield strength at different temperatures. A set of irradiation-induced defect kinetics equations with the thermodynamics parameters derived from the atomic calculations reported in the literature is used to determine the densities and sizes of defect clusters at the meso-scale, and the predicted irradiation damage characteristics are in reasonable quantitative agreement with experimental data from literature. The effects of irradiation condition (temperature and irradiation dose) and test temperature on yield strength are quantitatively predicted and compared with experimental measurements from the literature. The predicted irradiation hardening and strain hardening are compared with experimental data as model validation.



中文翻译:

基于机理的定量多尺度框架研究低温下钨的辐照硬化

我们提出了一种基于机理的多尺度建模框架的开发和验证,该框架将微观尺度上的辐照缺陷演化动力学定量链接到低温辐照的钨的宏观屈服强度和流动应力演变(0.08 <  T / T m  <0.18,其中T m是熔点,等于3673 K)。建立了基于机制的强度模型,该模型被建议为热软化和改进的分散势垒硬化的叠加,以了解潜在的增强机制。Johnson-Cook模型中定义的热软化指数是通过拟合不同温度下的未辐照屈服强度而获得的。使用文献报道的原子计算得出的具有热力学参数的一组辐射诱发的缺陷动力学方程式,以中观尺度确定缺陷团簇的密度和大小,并且预测的辐照损伤特征与定量定理相符。来自文献的实验数据。定量预测了辐照条件(温度和辐照剂量)和测试温度对屈服强度的影响,并与文献中的实验测量结果进行了比较。将预测的辐射硬化和应变硬化与实验数据进行比较,以进行模型验证。

更新日期:2020-01-13
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