论文标题
预测CU/NB复合材料中的电导率：一项合并的模型实验研究
Predicting electrical conductivity in Cu/Nb composites: a combined model-experiment study
论文作者
论文摘要
高磁场的产生需要具有高电导率和良好强度特性的材料。 CU/NB复合材料被认为是为此目的的好候选者。在这项工作中，我们旨在从理论上预测电导率对微结构的依赖性，最著名的是层厚度和晶粒尺寸。我们还进行了实验以校准和验证我们的模拟。双林界面和晶界被证实对该复合材料的电导率具有最大的影响。在这种方法中，为了更好地模拟实验观察到的微观结构，对层厚度的分布进行了解释。由于cu平均自由路径以下的层厚度显着降低了电导率，因此可能需要大于预期的平均层厚度以满足电导率要求，以最大程度地减少分布中这些较小的层。我们还研究了NB和温度的体积分数变化对材料电导率的影响。
The generation of high magnetic fields requires materials with high electric conductivity and good strength properties. Cu/Nb composites are considered to be good candidates for this purpose. In this work we aim to predict, from theory, the dependence of electric conductivity on the microstructure, most notably on the layer thickness and grain sizes. We also conducted experiments to calibrate and validate our simulations. Bimetal interfaces and grain boundaries are confirmed to have the largest impact on conductivity in this composite material. In this approach, a distribution of the layer thickness is accounted for in order to better model the experimentally observed microstructure. Because layer thicknesses below the mean free path of Cu significantly degrade the conductivity, an average layer thickness larger than expected may be needed to meet conductivity requirements in order to minimize these smaller layers in the distribution. We also investigate the effect of variations in volume fraction of Nb and temperature on the material's conductivity.
