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Thermodynamically Guided Improvement of Fe–Mn–Al–Ni Shape-Memory Alloys
Advanced Materials ( IF 29.4 ) Pub Date : 2023-10-20 , DOI: 10.1002/adma.202306794
Alexander Walnsch 1 , André Bauer 2 , Jens Freudenberger 1, 3 , Katharina Freiberg 4 , Christina Wüstefeld 1 , Malte Vollmer 2 , Stephanie Lippmann 4 , Thomas Niendorf 2 , Andreas Leineweber 1 , Mario J. Kriegel 1
Affiliation  

A microstructural informed thermodynamic model is utilized to tailor the pseudoelastic performance of a series of Fe–Mn–Al–Ni shape-memory alloys. Following this approach, the influence of the stability and the amount of the B2-ordered precipitates on the stability of the austenitic state and the pseudoelastic response is revealed. This is assessed by a combination of complementary nanoindentation measurements and incremental-strain tests under compressive loading. Based on these investigations, the applicability of the proposed models for the prediction of shape-memory capabilities of Fe–Mn–Al–Ni alloys is confirmed. Eventually, these thermodynamic considerations enable the guided enhancement of functional properties in this alloy system through the direct design of alloy compositions. The procedure proposed renders a significant advancement in the field of shape-memory alloys.

中文翻译:

Fe-Mn-Al-Ni 形状记忆合金的热力学引导改进

利用微观结构热力学模型来定制一系列 Fe-Mn-Al-Ni 形状记忆合金的伪弹性性能。按照这种方法,揭示了B 2 有序析出物的稳定性和数量对奥氏体状态稳定性和伪弹性响应的影响。这是通过互补的纳米压痕测量和压缩负载下的增量应变测试的组合来评估的。基于这些研究,所提出的模型对于预测 Fe-Mn-Al-Ni 合金形状记忆能力的适用性得到了证实。最终,这些热力学考虑因素能够通过直接设计合金成分来引导增强该合金系统的功能特性。所提出的程序在形状记忆合金领域取得了重大进步。
更新日期:2023-10-20
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