Evolution of shape memory effect with aging time during aging after pre-strain in Fe–Mn–Si–Cr–Ni–C shape memory alloys

Peng, Huabei; Zhang, J.B.; Sun, Lixin; Song, Fan; An, Xudong; Wang, H.; Wen, Yuhua

doi:10.1016/j.msea.2022.143675

Cited by 10 publications

(4 citation statements)

References 58 publications

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“…where A Nb and A C are the atomic mass of Nb and C, respectively. Using equations (11) and (12), W e Nb and W e C can be calculated.…”

Section: Solubility Productmentioning

confidence: 99%

“…Given an initial composition of the Fe-Mn-Si-based shape memory alloys, the solubility product KSP of NbC at temperature T is determined through equation (10). The equilibrium weight fractions W e Nb and W e C are solved by equations (11) and (12). Then, the driving force G v D for nucleation can be calculated by equation (2).…”

Section: Simulation Proceduresmentioning

confidence: 99%

“…However, the recovery strain of the polycrystalline Fe-Mn-Si-based alloy obtained by conventional manufacturing process consisting of forging, rolling, and subsequent solution treatment is only 2%-3%, which cannot meet the engineering application requirements. Modification of alloying elements [7,8], heat treatment [9][10][11], plastic deformation [12][13][14], thermomechanical processing [15], training treatment [16], and second-phase precipitation [17][18][19][20] have been employed to improve the shape recovery strain. The precipitation of nanosized second-phase was first proposed by Kajiwara as an effective method to improve the shape memory effect in Fe-Mn-Si-based alloys [17,21].…”

Section: Introductionmentioning

confidence: 99%

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Thermodynamic modeling and computational predictions of NbC precipitation in Fe–Mn–Si-based shape memory alloys by the classical nucleation and growth theories

Wang

Deng

Zhang

et al. 2022

Mater. Res. Express

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NbC precipitation in Fe–Mn–Si-based alloys is an effective method to improve the shape memory effect. In this study, the precipitation behavior was investigated using a thermodynamical model to understand the mechanism and optimize the precipitates for a better performance of Fe–Mn–Si-based shape memory alloys. The influence of alloying elements can be considered in the model by introducing interaction parameters. The precipitate size distribution, mean size, precipitate volume faction, and number density of three typical Fe–Mn–Si-based alloys with different NbC addition amounts were calculated. The results indicated that the mean size could be decreased significantly as the NbC addition increased from 0.5% to 1.0%, while the precipitate volume fraction and number density showed obvious increments. The Fe–28Mn–6Si– 5Cr alloys exhibited smaller mean sizes and higher number densities than the Fe– 14Mn–6Si–9Cr–5Ni and Fe–21Mn–6Si–9Cr–5Ni alloys. It was also found that the precipitate size distribution showed no evident change as the aging time increased from 0.5 h to 2 h except for the Fe–28Mn–6Si–5Cr–0.5NbC alloy in which the precipitates began to coarsen after about 1.25 h.

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“…where A Nb and A C are the atomic mass of Nb and C, respectively. Using equations (11) and (12), W e Nb and W e C can be calculated.…”

Section: Solubility Productmentioning

confidence: 99%

Section: Simulation Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Thermodynamic modeling and computational predictions of NbC precipitation in Fe–Mn–Si-based shape memory alloys by the classical nucleation and growth theories

Wang

Deng

Zhang

et al. 2022

Mater. Res. Express

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“…How to consider the substrate material and SMA discontinuities during modeling, as well as the stress and displacement transfer between the material interface at the micro level [14,15]. Secondly, SMAs have unique pre-strain properties and martensite austenite transformation properties [16][17][18], which not only help to improve the overall stiffness and dynamic properties of composite plates but also offer a fresh approach to designing and managing their vibration and acoustic radiation properties [19,20].…”

Section: Introductionmentioning

confidence: 99%

Interface stress transfer model and modulus parameter equivalence method for composite materials embedded with tensile pre-strain shape memory alloy fibers

Huang,

Duan,

Wang

et al. 2024

PLoS ONE

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The constitutive model and modulus parameter equivalence of shape memory alloy composites (SMAC) serve as the foundation for the structural dynamic modeling of composite materials, which has a direct impact on the dynamic characteristics and modeling accuracy of SMAC. This article proposes a homogenization method for SMA composites considering interfacial phases, models the interface stress transfer of three-phase cylinders physically, and derives the axial and shear stresses of SMA fiber phase, interfacial phase, and matrix phase mathematically. The homogenization method and stress expression were then used to determine the macroscopic effective modulus of SMAC as well as the stress characteristics of the fiber phase and interface phase of SMA. The findings demonstrate the significance of volume fraction and tensile pre-strain in stress transfer between the fiber phase and interface phase at high temperatures. The maximum axial stress in the fiber phase is 705.05 MPa when the SMA is fully austenitic and the pre-strain increases to 5%. At 10% volume fraction of SMA, the fiber phase’s maximum axial stress can reach 1000 MPa. Ultimately, an experimental verification of the theoretical calculation method’s accuracy for the effective modulus of SMAC lays the groundwork for the dynamic modeling of SMAC structures.

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Effect of laser power on the microstructure, shape memory effect and mechanical properties of Cu–13Al–5Fe high temperature shape memory alloy by laser powder bed fusion

Gao,

Jian,

Wang

2023

Appl. Phys. A

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Evolution of shape memory effect with aging time during aging after pre-strain in Fe–Mn–Si–Cr–Ni–C shape memory alloys

Cited by 10 publications

References 58 publications

Thermodynamic modeling and computational predictions of NbC precipitation in Fe–Mn–Si-based shape memory alloys by the classical nucleation and growth theories

Thermodynamic modeling and computational predictions of NbC precipitation in Fe–Mn–Si-based shape memory alloys by the classical nucleation and growth theories

Interface stress transfer model and modulus parameter equivalence method for composite materials embedded with tensile pre-strain shape memory alloy fibers

Effect of laser power on the microstructure, shape memory effect and mechanical properties of Cu–13Al–5Fe high temperature shape memory alloy by laser powder bed fusion

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