A phase-field study of martensite formation in Fe–Mn–Al–Ni shape memory alloys as caused by nanoscale B2-ordered precipitate and matrix phase interplay

IF 3.1 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
V. von Oertzen , A. Walnsch , A. Leineweber , B. Kiefer
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引用次数: 0

Abstract

This work is motivated by a new generation of iron-based shape memory alloys that have the potential to serve as an enabling technology in civil engineering applications, such as novel pre-stressing mechanisms and high fiber content reinforced high performance concrete.
With the aim of better understanding the underlying microstructural mechanisms that cause the unique macroscopic behavior of these alloys, we present a multidisciplinary effort between mechanics and materials science oriented thermodynamics to carefully study the martensitic phase transformation in the quaternary Fe–Mn–Al–Ni alloy system. More specifically, an Allen–Cahn type phase-field model is used to describe the martensite formation in this shape memory alloy, which is based on the nanoscale interplay of B2-ordered precipitates and the matrix material. The underlying multiphase approach is transformed into a homogenized dual phase description with the aim of approximating the martensite start temperature. The calibration of all phase-field related model parameters is performed by means of temperature-dependent data provided through Calphad computations.
Three-dimensional, spatially and temporally resolved finite element simulations are performed on topologically varied unit cells, in order to assess the model. It is found that B2-ordered precipitates stabilize the austenite state due to additional mechanical driving force contributions that build up in the vicinity of the inclusions, which is also observed in experiments. Moreover, the results confirm that our hypothesis regarding the key microstructural mechanisms yield Ms temperature predictions, that are in good agreement with experimental data. In addition, extensions of the current approach towards multi-variant systems as well as rate-independent dissipation formulations are discussed. The latter aspect will, for instance, be essential to capture sigmoidal-type hysteresis behavior of iron-based SMA systems at larger length scales, which will be addressed in future investigations. In this regard, the modeling framework proposed in this work is shown to serve as a substantial basis for studying characteristic transformation phenomena that are observed in the Fe–Mn–Al–Ni alloy.
Fe-Mn-Al-Ni形状记忆合金中b2有序沉淀与基体相相互作用导致马氏体形成的相场研究
这项工作的动机是新一代铁基形状记忆合金,它有可能成为土木工程应用中的一种使能技术,例如新型预应力机制和高纤维含量增强高性能混凝土。为了更好地了解导致这些合金独特宏观行为的潜在微观组织机制,我们提出了力学和材料科学导向热力学的多学科努力,仔细研究了第四系Fe-Mn-Al-Ni合金体系中的马氏体相变。更具体地说,采用Allen-Cahn型相场模型来描述这种形状记忆合金中马氏体的形成,该模型基于b2有序析出相与基体材料的纳米级相互作用。将基础多相方法转化为均匀化的双相描述,目的是近似马氏体起始温度。所有相场相关的模型参数的校准是通过Calphad计算提供的温度相关数据来完成的。三维,空间和时间分辨有限元模拟执行拓扑变化的单位细胞,以评估模型。在实验中也观察到,由于在夹杂物附近积累的额外机械驱动力的作用,b2有序析出物稳定了奥氏体状态。此外,结果证实了我们关于关键微观结构机制的假设产生的Ms温度预测,这与实验数据很好地一致。此外,还讨论了当前方法在多变量系统和速率无关耗散公式方面的扩展。例如,后一方面对于捕获较大长度尺度下铁基SMA系统的s型迟滞行为至关重要,这将在未来的研究中得到解决。在这方面,本工作提出的建模框架被证明是研究Fe-Mn-Al-Ni合金中观察到的特征转变现象的实质性基础。
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来源期刊
Computational Materials Science
Computational Materials Science 工程技术-材料科学:综合
CiteScore
6.50
自引率
6.10%
发文量
665
审稿时长
26 days
期刊介绍: The goal of Computational Materials Science is to report on results that provide new or unique insights into, or significantly expand our understanding of, the properties of materials or phenomena associated with their design, synthesis, processing, characterization, and utilization. To be relevant to the journal, the results should be applied or applicable to specific material systems that are discussed within the submission.
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