Microstructure-Based Estimation of Strength and Ductility Distributions for $$\alpha +\beta $$ Titanium Alloys
Microstructure-Based Estimation of Strength and Ductility Distributions for $$\alpha +\beta $$ Titanium Alloys
复制标题
基于微观结构的 $$alpha eta $$ 钛合金强度和延展性分布估计
DOI：
10.1007/s11661-021-06233-5
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
P. Dawson
中科院分区：
文献类型：
--
作者：
M. Echlin;M. Kasemer;K. Chatterjee;D. Boyce;J. Stinville;P. Callahan;Euan Wielewski;Jun;James C. Williams;R. Suter;T. Pollock;Matthew P. Miller;P. Dawson
钛合金被加工以形成广泛的微观结构配置，从而形成材料性能。虽然这些性能通常是通过实验测量的，但性能预测的框架可以大大提高合金的设计和制造。在这里，提出了一个微观结构敏感的框架预测的强度和延展性，以及估计这些属性的变化范围。该框架明确考虑通过新的方法在合成样品中的结构实例化的微观结构的分布。参数化评价策略，包括有限元模拟软件包FEpX，用于创建和测试虚拟多晶样品，以评估Ti-6Al-4V的机械性能的变化范围。性能评估框架的关键参数提供了单晶性能的测量和先进的表征的微观结构和滑移系统的强度在2D和3D。屈服强度和延性的属性分布，沿着的确认和验证步骤进行。应变局部化和滑移活动在虚拟样品和实验晶粒尺度应变测量之间的比较也进行了讨论。
Titanium alloys are processed to develop a wide range of microstructure configurations and therefore material properties. While these properties are typically measured experimentally, a framework for property prediction could greatly enhance alloy design and manufacturing. Here a microstructure-sensitive framework is presented for the prediction of strength and ductility as well as estimates of the bounds in variability for these properties. The framework explicitly considers distributions of microstructure via new approaches for instantiation of structure in synthetic samples. The parametric evaluation strategy, including the finite element simulation package FEpX, is used to create and test virtual polycrystalline samples to evaluate the variability bounds of mechanical properties in Ti-6Al-4V. Critical parameters for the property evaluation framework are provided by measurements of single crystal properties and advanced characterization of microstructure and slip system strengths in 2D and 3D. Property distributions for yield strength and ductility are presented, along with the validation and verification steps undertaken. Comparisons between strain localization and slip activity in virtual samples and in experimental grain-scale strain measurements are also discussed.
影响因子：
9.8
作者：
Jiaxiang Wang;Milovan Zecevic;M. Knezevic;I. Beyerlein
通讯作者：
Jiaxiang Wang;Milovan Zecevic;M. Knezevic;I. Beyerlein
DOI：
10.1007/s40192-019-00126-7
发表时间：
2019-03-01
影响因子：
3.3
作者：
Polonsky, Andrew T.;Lang, Christian A.;Pollock, Tresa M.
通讯作者：
Pollock, Tresa M.