Comparing local deformation measurements to predictions from crystal plasticity during reverse loading of an aerospace alloy
Comparing local deformation measurements to predictions from crystal plasticity during reverse loading of an aerospace alloy
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将航空航天合金反向加载过程中的局部变形测量与晶体塑性预测进行比较
DOI：
10.1088/1757-899x/580/1/012028
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Atkinson M
中科院分区：
文献类型：
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作者：
Atkinson M
循环载荷在航空航天应用中非常重要，但对流动应力随载荷路径变化的原因了解甚少，难以预测。许多晶体塑性模型能够模拟非单调载荷路径期间的宏观流动行为，例如反向加载时经常看到的包辛格效应。尽管这些模型明确地表示了微观结构，但仍然不清楚它们是否在局部微观结构尺度上捕获可逆性，或者仅仅通过使用更多的拟合参数来更好地拟合宏观硬化响应。在这里，我们提出了实验表面变形数据采集使用高分辨率数字图像相关（HR-DIC）在反向加载周期。分辨率大于200 nm，这些实验揭示了变形的离散性质，在局部晶体滑移带的形式。然后，这些结果进行了比较统计，超过数百个晶粒，反向加载的晶体塑性模拟。模拟结果取自有限元法（CPFEM）和快速傅里叶变换（CPFFT），包括两个流行的数值技术全场晶体塑性模型。
Cyclic loading is of great importance in aerospace applications but the origins of the change in flow stress with load path are poorly understood and difficult to predict. Many crystal plasticity models are capable of modelling macroscopic flow behaviour during non-monotonic load paths, such as the Bauschinger effect often seen when reverse loading. Although these models represent the microstructure explicitly, it remains unclear whether they capture reversibility at the local microstructural scale, or simply fit the macroscopic hardening response better by using more fitting parameters. Here we present experimental surface deformation data acquired using high resolution digital image correlation (HR-DIC) during a reverse load cycle. With resolution greater than 200nm, these experiments reveal the discrete nature of deformation in the form of localised crystallographic slip bands. These results are then compared statistically, over many hundreds of grains, to crystal plasticity simulations of reverse loading. Simulation results are taken from both finite element method (CPFEM) and fast Fourier transform (CPFFT) encompassing the two popular numerical techniques for full-field crystal plasticity models.
使用多晶本构模型进行金属变形的弹塑性有限元分析
DOI：
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发表时间：
1998
期刊：
影响因子：
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作者：
E. Marin;P. Dawson
通讯作者：
P. Dawson
自由表面有限应变晶体塑性的傅里叶谱法求解
DOI：
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发表时间：
2018
期刊：
影响因子：
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作者：
Tias Maiti;P. Eisenlohr
通讯作者：
P. Eisenlohr