Enhanced pseudoelasticity of an Fe-Mn-Si-based shape memory alloy by applying microstructural engineering through recrystallization and precipitation

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Khodaverdi, H.; Mohri, M.; Ghafoori, E.; Ghorabaei, A.S.; Nili-Ahmadabadi, M.: Enhanced pseudoelasticity of an Fe-Mn-Si-based shape memory alloy by applying microstructural engineering through recrystallization and precipitation. In: Journal of Materials Research and Technology 21 (2022), S. 2999-3013. DOI: https://doi.org/10.1016/j.jmrt.2022.10.092

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The aim of this work is to provide a novel understanding of pseudoelasticity mechanisms in an FeMnSi-based shape memory alloy and to utilize the identified parameters to control and enhance the mechanical behavior of the alloy. The alloy was processed by employing caliber rolling to an equivalent strain of 0.25 at room temperature. Various heat treatments from 530 to 1000 °C were applied to study the microstructural evolution and pseudoelasticity behavior during short-term post-deformation annealing (PDA) and aging. A minimum residual strain of 2.85% was achieved after 4% loading in tension by annealing the cold-worked sample at 925 °C for 50 min followed by aging at 750 °C for 6 h; this is the lowest ever reported residual strain for this alloy. Moreover, the absorbed energy increased from 17 to 22 J/cm3, indicating a 30% enhancement compared with the as-received aged sample. These improvements in pseudoelasticity and absorbed energy make this alloy more suitable for seismic damping application by providing more recentering after energy dissipation. The improvements are mainly attributed to grain refinement, which stimulates a uniform distribution of precipitates inside the austenite grains after PDA and aging. Additionally, grain refinement modifies the morphology and size of precipitates, resulting in an increased number of stacking faults and a high volume fraction of ϵ-martensite, and diminishes the probability of the intersection of ϵ-martensite laths with each other and subsequent α′-martensite formation.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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1 image of flag of Germany Germany 17 39.53%
2 image of flag of United States United States 13 30.23%
3 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 4 9.30%
4 image of flag of China China 4 9.30%
5 image of flag of Vietnam Vietnam 1 2.33%
6 image of flag of Russian Federation Russian Federation 1 2.33%
7 image of flag of Indonesia Indonesia 1 2.33%
8 image of flag of Hong Kong Hong Kong 1 2.33%
9 image of flag of Belgium Belgium 1 2.33%

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