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Multiscale modeling of the elasto-plastic behavior of architectured and nanostructured Cu-Nb composite wires and comparison with neutron diffraction experiments
International Journal of Plasticity ( IF 9.4 ) Pub Date : 2019-11-01 , DOI: 10.1016/j.ijplas.2019.04.011
T. Gu , J.-R. Medy , V. Klosek , O. Castelnau , S. Forest , E. Hervé-Luanco , F. Lecouturier–Dupouy , H. Proudhon , P.-O. Renault , L. Thilly , P. Villechaise

Nanostructured and architectured copper niobium composite wires are excellent candidates for the generation of intense pulsed magnetic fields (∼100T) as they combine both high strength and high electrical conductivity. Multi-scaled Cu-Nb wires are fabricated by accumulative drawing and bundling (a severe plastic deformation technique), leading to a multiscale, architectured, and nanostructured microstructure exhibiting a strong fiber crystallographic texture and elongated grain shape along the wire axis. This paper presents a comprehensive study of the effective elasto-plastic behavior of this composite material by using two different approaches to model the microstructural features: full-field finite elements and mean-field modeling. As the material exhibits several characteristic scales, an original hierarchical strategy is proposed based on iterative scale transition steps from the nanometric grain scale to the millimetric macro-scale. The best modeling strategy is selected to estimate reliably the effective elasto-plastic behavior of Cu-Nb wires with minimum computational time. Finally, for the first time, the models are confronted to tensile tests and in-situ neutron diffraction experimental data with a good agreement.

中文翻译:

结构化和纳米结构化 Cu-Nb 复合线的弹塑性行为的多尺度建模以及与中子衍射实验的比较

纳米结构和结构的铜铌复合线是产生强脉冲磁场 (~100T) 的绝佳候选者,因为它们兼具高强度和高导电性。多尺度 Cu-Nb 线是通过累积拉伸和捆绑(一种严重的塑性变形技术)制造的,导致多尺度、结构化和纳米结构的微观结构呈现出强大的纤维晶体结构和沿线轴拉长的晶粒形状。本文通过使用两种不同的方法对微观结构特征进行建模:全场有限元和平均场建模,对这种复合材料的有效弹塑性行为进行了全面研究。由于材料表现出几个特征尺度,基于从纳米晶粒尺度到毫米宏观尺度的迭代尺度过渡步骤,提出了一种原始的分层策略。选择最佳建模策略,以最少的计算时间可靠地估计 Cu-Nb 线的有效弹塑性行为。最后,模型首次面对拉伸试验和原位中子衍射实验数据,具有良好的一致性。
更新日期:2019-11-01
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