Observation and modeling of strain gradients in AA6016 – Influence of length-scale, microstructure, and strain path

IF 5.5 2区 材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Materials Characterization Pub Date : 2025-02-12 DOI:10.1016/j.matchar.2025.114843
Sarah G. Sanderson , Sajjad Izadpanah Najmabad , Rishabh Sharma , Tyson Neville , Asher Webb , Michael P. Miles , Marko Knezevic , David T. Fullwood
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Abstract

Structural aluminum alloys are often less-than ideal materials for studying sub-grain strain gradients via EBSD, at typical resolution settings. Sharply defined slip bands are not generally observed due to cross-slip, and second-phase particles formed during solidification of work-hardened alloys provide obstacles that disrupt potential structure development, leading to what can seem like random distributions of geometrically necessary dislocations (GNDs). This study considers the roles of length-scale and second-phase particles in sub-grain distributions of AA6016-T4 following deformation. Second-phase particles are shown to play a stronger role than grain boundaries (GBs) in local GND accumulations. The net Burgers vector is used to show the transition from crystallographic-level slip to macro-scale slip as length scale increases, with a corresponding transition in the GND vs. step size graph. A strain gradient crystal plasticity model is applied to assess predictability of the observations. Real 3D structures were extracted, via serial sectioning, following application of different strain paths. Predicted GND and total dislocation evolution closely follows observed values. The model is then used to study the relative contributions of GBs and second-phase particles to GND localization, leading to the conclusion that second-phase particles must be included in the model to reflect observed behavior.
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AA6016中应变梯度的观察与建模——长度尺度、微观结构和应变路径的影响
在典型的分辨率设置下,结构铝合金通常不是通过EBSD研究亚晶应变梯度的理想材料。由于交叉滑移,通常观察不到明显的滑移带,而在加工硬化合金凝固过程中形成的第二相颗粒提供了破坏潜在结构发展的障碍,导致几何上必要的位错(GNDs)的随机分布。本研究考虑了长度尺度和第二相颗粒在变形后AA6016-T4亚晶分布中的作用。在局部GND积累中,第二相粒子比晶界(GBs)发挥更大的作用。净汉堡矢量用于显示随着长度尺度的增加,从晶体级滑移到宏观尺度滑移的转变,在GND与步长图中有相应的转变。采用应变梯度晶体塑性模型来评估观测结果的可预测性。应用不同的应变路径,通过连续切片提取出真实的三维结构。预测的GND和总位错演变与观测值密切相关。然后利用该模型研究了GBs和第二相粒子对GND局部化的相对贡献,得出必须将第二相粒子纳入模型以反映观察到的行为的结论。
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来源期刊
Materials Characterization
Materials Characterization 工程技术-材料科学:表征与测试
CiteScore
7.60
自引率
8.50%
发文量
746
审稿时长
36 days
期刊介绍: Materials Characterization features original articles and state-of-the-art reviews on theoretical and practical aspects of the structure and behaviour of materials. The Journal focuses on all characterization techniques, including all forms of microscopy (light, electron, acoustic, etc.,) and analysis (especially microanalysis and surface analytical techniques). Developments in both this wide range of techniques and their application to the quantification of the microstructure of materials are essential facets of the Journal. The Journal provides the Materials Scientist/Engineer with up-to-date information on many types of materials with an underlying theme of explaining the behavior of materials using novel approaches. Materials covered by the journal include: Metals & Alloys Ceramics Nanomaterials Biomedical materials Optical materials Composites Natural Materials.
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