Development of Fe-Mn-Si-Cr Shape Memory Alloy Fiber Reinforced Plaster-Based Smart Composites

2005 ◽  
Vol 475-479 ◽  
pp. 2063-2066 ◽  
Author(s):  
Teppei Wakatsuki ◽  
Yoshimi Watanabe ◽  
Hiroshi Okada
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Tensile Strain ◽  
Bending Test ◽  
Fiber Reinforced ◽  
Three Point Bending ◽  
Smart Composites ◽  
Fiber Holder

In previous studies, it has been found that the shape memory effect of the embedded straight and wavy shape memory alloy (SMA) fibers enhance the strength and energy absorption prior to fracture of the composite, where the embedded SMA fibers shrink due to their shape memory effect. In the case of wavy fiber reinforced composites, the SMA fibers were subjected to pre-tensile strain using fiber holder with rotatable rollers to maintain the constant periodicity and amplitude of wavy fibers. In this study, on the other hand, the wavy SMA fibers were subjected to pre-tensile strain without using fiber holder, and therefore, periodicity and amplitude of wavy fibers were varied during the deformation. Then the wavy SMA fiber reinforced smart composite is fabricated. For the mechanical property characterization, three-point bending test is performed for the specimens.

Cold Bending a Ni-Ti Shape Memory Alloy Wire

2015 ◽  
Vol 661 ◽  
pp. 98-104 ◽  
Author(s):  
Kuang-Jau Fann ◽  
Pao Min Huang
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory Alloys ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Room Temperature ◽  
Aging Treatment ◽  
Treatment Temperature ◽  
Bending Test ◽  
Solution Treatment Temperature

Because of being in possession of shape memory effect and superelasticity, Ni-Ti shape memory alloys have earned more intense gaze on the next generation applications. Conventionally, Ni-Ti shape memory alloys are manufactured by hot forming and constraint aging, which need a capital-intensive investment. To have a cost benefit getting rid of plenty of die sets, this study is aimed to form Ni-Ti shape memory alloys at room temperature and to age them at elevated temperature without any die sets. In this study, starting with solution treatments at various temperatures, which served as annealing process, Ni-rich Ni-Ti shape memory alloy wires were bent by V-shaped punches in different curvatures at room temperature. Subsequently, the wires were aged at different temperatures to have shape memory effect. As a result, springback was found after withdrawing the bending punch and further after the aging treatment as well. A higher solution treatment temperature or a smaller bending radius leads to a smaller springback, while a higher aging treatment temperature made a larger springback. This springback may be compensated by bending the wires in further larger curvatures to keep the shape accuracy as designed. To explore the shape memory effect, a reverse bending test was performed. It shows that all bent wires after aging had a shape recovery rate above 96.3% on average.

Transformation hysteresis and shape memory effect of an ultrafine-grained TiNiNb shape memory alloy

2014 ◽  
Vol 54 ◽  
pp. 133-135 ◽  
Author(s):  
P.C. Jiang ◽  
Y.F. Zheng ◽  
Y.X. Tong ◽  
F. Chen ◽  
B. Tian ◽  
...  
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Ultrafine Grained ◽  
Transformation Hysteresis

Effect of aging on transformation behavior and shape memory effect of a CuAlNb high temperature shape memory alloy

2006 ◽  
Vol 41 (18) ◽  
pp. 6165-6167 ◽  
Author(s):  
Z. Y. Gao ◽  
Y. Wu ◽  
Y. X. Tong ◽  
W. Cai ◽  
Y. F. Zheng ◽  
...  
Keyword(s):  
High Temperature ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Transformation Behavior

Two way shape memory effect in NiTiHf high temperature shape memory alloy tubes

2019 ◽  
Vol 163 ◽  
pp. 1-13 ◽  
Author(s):  
C. Hayrettin ◽  
O. Karakoc ◽  
I. Karaman ◽  
J.H. Mabe ◽  
R. Santamarta ◽  
...  
Keyword(s):  
High Temperature ◽  
Shape Memory Alloy ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect

scholarly journals Термомеханический анализ эффекта памяти формы полиуретанового композита, используемого для создания развертываемых конструкций космического назначения

2019 ◽  
Vol 45 (9) ◽  
pp. 32
Author(s):  
Т.А. Шалыгина ◽  
С.Ю. Воронина ◽  
А.Ю. Власов ◽  
К.А. Пасечник ◽  
И.В. Обверткин
Keyword(s):  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Recovery Rate ◽  
Viscoelastic Properties ◽  
Original Form ◽  
Elastic State ◽  
Three Point Bending ◽  
Polyurethane Composite

The possibility of using a three-point bending clamp thermomechanical analyzer for study the shape memory effect of a constructional polyurethane composite is investigated. The viscoelastic properties of the sample in the region of the transition from the glassy to the highly elastic state are studied. The parameters affecting the recovery rate of the original form (Rr) and the fixation factor of the temporary form (Rf) are determined. The conditions for deforming and cooling the polyurethane composite are established, which allow to achieve the values of Rr = 99.98% and Rf = 99.70%.

The Concept of Physical Metric in the Thermomechanical Modeling of Phase Transformations With Emphasis on Shape Memory Alloy Materials

2013 ◽  
Vol 135 (2) ◽  
Author(s):  
Vassilis P. Panoskaltsis ◽  
Lazaros C. Polymenakos ◽  
Dimitris Soldatos
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Phase Transformations ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Material Model ◽  
Internal Variable ◽  
Theoretical Interest ◽  
Numerical Examples ◽  
Thermomechanical Modeling

In this work we derive a new version of generalized plasticity, suitable to describe phase transformations. In particular, we present a general multi surface formulation of the theory which is capable of describing the multiple and interacting loading mechanisms, which occur during phase transformations. The formulation relies crucially on the consideration of the intrinsic material (“physical”) metric as a primary internal variable and does not invoke any decomposition of the kinematical quantities into elastic and inelastic (transformation induced) parts. The new theory, besides its theoretical interest, is also important for application purposes such as the description and the prediction of the response of shape memory alloy materials. This is shown in the simplest possible setting by the introduction of a material model. The ability of the model in simulating several patterns of the experimentally observed behavior of these materials such as the pseudoelastic phenomenon and the shape memory effect is assessed by representative numerical examples.

scholarly journals Sensitivity and Uncertainty Analysis of One-Dimensional Tanaka and Liang-Rogers Shape Memory Alloy Constitutive Models

Materials ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1687 ◽  
Author(s):  
A. B. M. Rezaul Islam ◽  
Ernur Karadoğan
Keyword(s):  
Shape Memory Alloy ◽  
Uncertainty Analysis ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Constitutive Models ◽  
Loading Conditions ◽  
Input Parameters ◽  
Stress Dependent ◽  
Sensitivity And Uncertainty Analysis

A shape memory alloy (SMA) can remember its original shape and recover from strain due to loading once it is exposed to heat (shape memory effect). SMAs also exhibit elastic response to applied stress above the characteristic temperature at which transformation to austenite is completed (pseudoelasticity or superelasticity). Shape memory effect and pseudoelasticity of SMAs have been addressed by several microscopic thermodynamic and macroscopic phenomenological models using different modeling approaches. The Tanaka and Liang-Rogers models are two of the most widely used macroscopic phenomenological constitutive models for describing SMA behavior. In this paper, we performed sensitivity and uncertainty analysis using Sobol and extended Fourier Amplitude Sensitivity Testing (eFAST) methods for the Tanaka and Liang-Rogers models at different operating temperatures and loading conditions. The stress-dependent and average sensitivity indices have been analyzed and are presented for determining the most influential parameters for these models. The results show that variability is primarily caused by a change in operating temperature and loading conditions. Both models appear to be influenced by the uncertainty in elastic modulus of the material significantly. The analyses presented in this paper aim to provide a better insight for designing applications using SMAs by increasing the understanding of these models’ sensitivity to the input parameters and the cause of output variability due to uncertainty in the same input parameters.

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