External-Field-Induced Phase Transformation and Associated Properties in a Ni50Mn34Fe3In13 Metamagnetic Shape Memory Wire

Metamagnetic shape memory alloys exhibit a series of intriguing multifunctional properties and have great potential for applications in magnetic actuation, sensing and magnetic refrigeration. However, the poor mechanical properties of these alloys with hardly any tensile deformability seriously limit their practical application. In the present work, we developed a Ni-Fe-Mn-In microwire that exhibits both a giant, tensile superelasticity and a magnetic-field-induced first-order phase transformation. The recoverable strain of superelasticity is more than 20% in the temperature range of 233–283 K, which is the highest recoverable strain reported heretofore in Ni-Mn-based shape memory alloys (SMAs). Moreover, the present microwire exhibits a large shape memory effect with a recoverable strain of up to 13.9% under the constant tensile stress of 225 MPa. As a result of the magnetic-field-induced first-order phase transformation, a large reversible magnetocaloric effect with an isothermal entropy change ΔSm of 15.1 J kg−1 K−1 for a field change from 0.2 T to 5 T was achieved in this microwire. The realization of both magnetic-field and tensile-stress-induced transformations confers on this microwire great potential for application in miniature multi-functional devices and provides an opportunity for multi-functional property optimization under coupled multiple fields.

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Magnetic Field-Induced Phase Transformation in Magnetic Shape Memory Alloys with High Actuation Stress and Work Output

10.21236/ada544925 ◽

2010 ◽

Author(s):

Ibrahim Karaman ◽

Dimitris C. Lagoudas

Keyword(s):

Magnetic Field ◽

Phase Transformation ◽

Shape Memory Alloys ◽

Shape Memory ◽

Work Output ◽

Magnetic Shape Memory ◽

Magnetic Shape Memory Alloys

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A Memory Variable Approach to Modeling the Magneto-Mechanical Behavior of Magnetic Shape Memory Alloys

Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation ◽

10.1115/smasis2013-3036 ◽

2013 ◽

Cited By ~ 2

Author(s):

Doug LaMaster ◽

Heidi Feigenbaum ◽

Isaac Nelson ◽

Constantin Ciocanel

Keyword(s):

Magnetic Field ◽

Shape Memory Alloys ◽

Shape Memory ◽

Mechanical Strain ◽

Magnetization Vector ◽

Unit Cell ◽

Magnetic Shape Memory ◽

Magnetic Shape Memory Alloys ◽

Short Side ◽

Recoverable Strain

Magnetic shape memory alloys (MSMAs) have attracted interest because of their considerable recoverable strain (up to 10%) and fast response time (1 kilohertz or higher). MSMAs are comprised of martensitic variants that have tetragonal unit cells and a magnetization vector that is innately aligned with the short side of the unit cell. These variants rotate either to align the magnetization vector with an applied magnetic field or to align the short side of the unit cell with an applied compressive stress. This reorientation leads to a mechanical strain and an overall change in the material’s magnetization, allowing MSMAs to be used as actuators, sensors, and power harvesters. This paper builds upon the work of Kiefer and Lagoudas [4,5] as well as improvements proposed by LaMaster et al. [1] to present a thermodynamic based model to predict the response of an MSMA to axial mechanical loading and transverse magnetic loading. This work is unique, however, in its use of a memory variable, which references the last stable configuration. This is similar to the approach used by Saint-Sulpice [2] in modeling SMA wires. The resulting model has zero driving force for reorientation of variants at the beginning of any load and again when the load is removed. Thus the model predicts what is seen physically, that the material is stable when no magneto-mechanical load is present. Furthermore, this model is more physical and less empirical than others in the literature, having only 2 material parameters associated with the stress-strain or stress-field response. In addition, this model includes evolution rules for the magnetic domain volume fractions and the angle of rotation of the magnetization vectors based on thermodynamic requirements. The resulting model is calibrated and predictions are compared with both the more established Keifer and Lagoudas model as well as experimental data. Results show decent correlation with experiments. The model can be further improved by calibrating the demagnetization factor to experimentally measured changes in magnetic field.

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On the stress-assisted magnetic-field-induced phase transformation in Ni2MnGa ferromagnetic shape memory alloys

Acta Materialia ◽

10.1016/j.actamat.2007.03.025 ◽

2007 ◽

Vol 55 (13) ◽

pp. 4253-4269 ◽

Cited By ~ 101

Author(s):

H.E. Karaca ◽

I. Karaman ◽

B. Basaran ◽

D.C. Lagoudas ◽

Y.I. Chumlyakov ◽

...

Keyword(s):

Magnetic Field ◽

Phase Transformation ◽

Shape Memory Alloys ◽

Shape Memory ◽

Ferromagnetic Shape Memory Alloys ◽

Ferromagnetic Shape Memory

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Brief Overview on Nitinol as Biomaterial

Advances in Materials Science and Engineering ◽

10.1155/2016/4173138 ◽

2016 ◽

Vol 2016 ◽

pp. 1-9 ◽

Cited By ~ 18

Author(s):

Abdul Wadood

Keyword(s):

Phase Transformation ◽

Research And Development ◽

Shape Memory Alloys ◽

Shape Memory ◽

Martensitic Phase ◽

Martensitic Phase Transformation ◽

Recoverable Strain

Shape memory alloys remember their shape due to thermoelastic martensitic phase transformation. These alloys have advantages in terms of large recoverable strain and these alloys can exert continuous force during use. Equiatomic NiTi, also known as nitinol, has a great potential for use as a biomaterial as compared to other conventional materials due to its shape memory and superelastic properties. In this paper, an overview of recent research and development related to NiTi based shape memory alloys is presented. Applications and uses of NiTi based shape memory alloys as biomaterials are discussed. Biocompatibility issues of nitinol and researchers’ approach to overcome this problem are also briefly discussed.

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Giant Magnetostriction in Ferromagnetic Shape-Memory Alloys

MRS Bulletin ◽

10.1557/mrs2002.45 ◽

2002 ◽

Vol 27 (2) ◽

pp. 105-109 ◽

Cited By ~ 81

Author(s):

Tomoyuki Kakeshita ◽

Kari Ullakko

Keyword(s):

Magnetic Field ◽

Shape Memory Alloys ◽

Shape Memory ◽

Martensite Phase ◽

Ferromagnetic Shape Memory Alloys ◽

Recoverable Strain ◽

Martensitic State ◽

Magnetostrictive Behavior ◽

Ferromagnetic Shape Memory ◽

The Magnetic Field

AbstractShape-memory alloys are now widely used because they exhibit a large recoverable strain, which is caused by the conversion of variants in the martensite phase. The conversion of variants is usually promoted by the application of external stress. Recently, however, it was found that the conversion of variants can also be promoted by the application of a magnetic field to induce the martensitic state in ferromagnetic Ni2MnGa shape-memory alloys. Since then, the research in this field has focused considerable attention on applications for using the materials as actuators and sensors because their response to a magnetic field is much faster than their response to heating or cooling. Furthermore, the mechanism of the conversion of variants by the magnetic field has attracted academic interest from many researchers. In this article, we show giant magnetostrictive behavior in three ferromagnetic shape-memory alloys—Ni2MnGa, Fe-Pd, and Fe3Pt—and review the investigations performed so far by many researchers, including the present authors.

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Estimation of entropy change at the first order martensitic transition in Ni–Mn–X based ferromagnetic shape memory alloys

Physica B Condensed Matter ◽

10.1016/j.physb.2014.03.096 ◽

2014 ◽

Vol 448 ◽

pp. 327-329 ◽

Cited By ~ 10

Author(s):

Rahul Das ◽

A. Perumal ◽

A. Srinivasan

Keyword(s):

Shape Memory Alloys ◽

Shape Memory ◽

Entropy Change ◽

Martensitic Transition ◽

Ferromagnetic Shape Memory Alloys ◽

First Order ◽

Ferromagnetic Shape Memory

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Effects of High Magnetic Field and Tensile Stress on Martensitic Transformation Behavior and Microstructure At 4 K in Fe-Ni-C Alloys

MRS Proceedings ◽

10.1557/proc-398-519 ◽

1995 ◽

Vol 398 ◽

Author(s):

H. Ohtsuka ◽

K. Nagai ◽

S. Kajiwara ◽

H. Kitaguchi ◽

M. Uehara

Keyword(s):

Magnetic Field ◽

Martensitic Transformation ◽

Tensile Stress ◽

Shape Memory Alloys ◽

Shape Memory ◽

High Magnetic Field ◽

Constant Magnetic Field ◽

Critical Magnetic Field ◽

Transformation Behavior ◽

The Magnetic Field

ABSTRACTEffects of high magnetic field and tensile stress on martensitic transformation behavior and microstructure at 4 K have been studied in Fe-31Ni-0.4C and Fe-27Ni-0.8C shape memory alloys. It was found that the critical magnetic field to induce martensitic transformation is between 7.5 T and 10 T. In the case of Fe-27Ni-0.8C, martensitic transformation is stress-induced at lower level of stress in magnetic field than in the case when no magnetic Field is applied. The amount of martensite formed by increasing the magnetic field under constant stress is larger than that formed by increasing the stress in the constant magnetic field.

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Constitutive Modeling of Magnetic Field-Induced Phase Transformation in NiMnCoIn Magnetic Shape Memory Alloys

Volume 1: Active Materials, Mechanics and Behavior; Modeling, Simulation and Control ◽

10.1115/smasis2009-1469 ◽

2009 ◽

Author(s):

Dimitris C. Lagoudas ◽

Krishnendu Haldar ◽

Burak Basaran ◽

Ibrahim Karaman

Keyword(s):

Magnetic Field ◽

Phase Transformation ◽

Shape Memory Alloys ◽

Shape Memory ◽

Constitutive Modeling ◽

Model Calibration ◽

Magnetic Shape Memory ◽

Magnetic Shape Memory Alloys ◽

Working Principle ◽

The Magnetic Field

In this work we model the magnetic field induced phase transformation (FIPT) of magnetic shape memory alloys (MSMAs). The working principle of such materials is described by the deformation of continua due to mechanical and magnetic forces. The cross coupling of mechanical and magnetic variables is captured by introducing nonlinear kinematics. The mechanical and magnetic constitutive equations are derived by a thermodynamic consistent way. Finally, the model prediction followed by model calibration is compared with the experimental results.

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