Shape Memory Alloy

Frémond, Michel

doi:10.1007/978-3-7091-4348-3_1

Cited by 24 publications

(18 citation statements)

References 6 publications

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“…Shape memory alloys are characterised by two solid phases. The first solid type is the austenitic parent phase which is stable at high temperatures and has high symmetry [ 174 ]. The second solid type is the martensitic phase which is stable at low temperatures and has low symmetry.…”

Section: Emerging Metallic Biomaterials and Future Trendsmentioning

confidence: 99%

Metallic Biomaterials: Current Challenges and Opportunities

et al. 2017

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Metallic biomaterials are engineered systems designed to provide internal support to biological tissues and they are being used largely in joint replacements, dental implants, orthopaedic fixations and stents. Higher biomaterial usage is associated with an increased incidence of implant-related complications due to poor implant integration, inflammation, mechanical instability, necrosis and infections, and associated prolonged patient care, pain and loss of function. In this review, we will briefly explore major representatives of metallic biomaterials along with the key existing and emerging strategies for surface and bulk modification used to improve biointegration, mechanical strength and flexibility of biometals, and discuss their compatibility with the concept of 3D printing.

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Section: Emerging Metallic Biomaterials and Future Trendsmentioning

confidence: 99%

Metallic Biomaterials: Current Challenges and Opportunities

et al. 2017

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“…The state variables in our model are therefore axial force ( F ), axial spring deflection ( δ ), and martensite volume fraction ( ξ ). Tanaka (Tanaka, 1986), Liang and Rogers (Liang and Rogers, 1990), Brinson (Brinson, 1993), Boyd and Lagoudas (Boyd and Lagoudas, 1996), and Frémond (Frémond, 1996) initially proposed constitutive models for SMA wire. Tobushi and Tanaka (Tobushi and Tanaka, 1991), Liang and Rogers (Liang and Rogers, 1997), Aguiar et al.…”

Section: Phenomenological Model Of Sma Spring In An Antagonistic Comentioning

confidence: 99%

“…The state variables in our model are therefore axial force ðFÞ, axial spring deflection ðdÞ, and martensite volume fraction ðjÞ. Tanaka (1986), Liang and Rogers (1990), Brinson (1993), Boyd andLagoudas (1996), andFre´mond (1996) initially proposed constitutive models for an SMA wire. Tobushi and Tanaka (1991), Liang and Rogers (1997), Aguiar et al (2010), Hadi et al (2010), and Ma et al (2013) used the wire models to derive those for the SMA helical spring.…”

Section: Sma Constitutive Modelmentioning

confidence: 99%

Modeling and characterization of shape memory alloy springs with water cooling strategy in a neurosurgical robot

Cheng

Kim

Desai

2017

Journal of Intelligent Material Systems and Structures

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Since shape memory alloy (SMA) has high power density and is magnetic resonance imaging (MRI) compatible, it has been chosen as the actuator for the meso-scale minimally invasive neurosurgical intracranial robot (MINIR-II) that is envisioned to be operated under continuous MRI guidance. We have devised a water cooling strategy to improve its actuation frequency by threading a silicone tube through the spring coils to form a compact cooling module-integrated actuator. To create active bi-directional motion in each robot joint, we configured the SMA springs in an antagonistic way. We modeled the antagonistic SMA spring behavior and provided the detailed steps to simulate its motion for a complete cycle. We investigated heat transfer during the resistive heating and water cooling processes. Characterization experiments were performed to determine the parameters used in both models, which were then verified by comparing the experimental and simulated data. The actuation frequency of the antagonistic SMAs was evaluated for several motion amplitudes and we could achieve a maximum actuation frequency of 0.143 Hz for a sinusoidal trajectory with 2 mm amplitude. Lastly, we developed a robotic system to implement the actuators on the MINIR-II to move its end segment back and forth for approximately ±25°.

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“…Different models of the behavior of these materials have been formulated recently. 5,15,17,23 The material response of interest for the purposes of this research is the stress-strain curve for TiNi at temperatures below M f , as given in Figure 2. When the alloy is deformed, the elastic deformation (1) is followed by yielding in which the stress remains approximately constant.…”

Section: The Shape Memory Effectmentioning

confidence: 99%

Energy Dissipation in Shape Memory Alloy Devices

Casciati

Faravelli

Petrini

1998

Computer aided Civil Eng

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A way of reasoning to reduce the response of a structural system under dynamic excitation is to think in terms of energy dissipation via plastic deformation devices. The concept of recoverable plastic deformation opens the way to the application of smart materials and, in particular, of shape memory alloys (SMAs). The characterization of the Ti Ni alloy structural component, with a complete definition of its mechanical properties and assembling features, is discussed.

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Shape Memory Alloy

Cited by 24 publications

References 6 publications

Metallic Biomaterials: Current Challenges and Opportunities

Metallic Biomaterials: Current Challenges and Opportunities

Modeling and characterization of shape memory alloy springs with water cooling strategy in a neurosurgical robot

Energy Dissipation in Shape Memory Alloy Devices

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