Pseudoelastic SMA Spring Elements for Passive Vibration Isolation: Part I                – Modeling

Khan, Mughees M.; Lagoudas, Dimitris C.; Mayes, John J.; Henderson, Benjamin K.

doi:10.1177/1045389x04041529

Cited by 40 publications

(18 citation statements)

References 47 publications

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“…Research on the large deformation behavior of NiTi tubes under quasi-static radial compression is not new in the literature. This type of test was used, for example, by [21] in the design of passive vibration isolation. [22] performed radial compression of tubes with different diameter-wall thickness ratios (φ ext /t).…”

Section: Radial Compression Test Of a Single Tubementioning

confidence: 99%

Superelastic cellular NiTi tube-based materials: Fabrication, experiments and modeling

Machado

Louche

Alonso

et al. 2015

Materials & Design (1980-2015)

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The authors wish to acknowledge the financial support of the French ANR research program ANiM: Architectured NiTi Material (N.2010 BLAN 90201)International audienceThe aim of this paper is to present an experimental and modeling study as the first step towards designing and optimizing architectured materials constituted of NiTi tubes. The idea is to combine the intrinsic and novel properties of nickel–titanium shape memory alloys with purposely engineered topologies. By joining thin-wall superelastic tubes via electrical resistance welding, we create regular cellular material demonstrators. The superelastic behavior of two simple architectured materials based on identical tubes, but with two topologies, are experimentally characterized and modeled using finite element approaches. The predicted behaviors are compared by simulating complex loading, exploring the influence of the constitutive material behavior on the effective mechanical properties of cellular materials. The parameters of the constitutive equations are identified on tensile tests performed on small dog-bone shaped specimens, machined from the tubes by spark cutting. The modeling results are finally compared with compression tests performed on these simple architectured NiTi materials. As a further validation of the proposed study, two large cell structures (square and hexagonal stacking) were modeled to gain greater insight into the role of different architectures

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Section: Radial Compression Test Of a Single Tubementioning

confidence: 99%

Superelastic cellular NiTi tube-based materials: Fabrication, experiments and modeling

Machado

Louche

Alonso

et al. 2015

Materials & Design (1980-2015)

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“…For further validation, it is necessary to compare it to a more commonly used method of SMA hysteresis simulation. Awidely accepted method of approximating hysteresis behavior among SMA researchers is the Preisach model [13,15]. The Preisach model is a general method of mapping hysteresis behavior that uses system parameters, and it can be used for a wide variety of hysteretic environments, not only SMA hysteresis [16].…”

Section: Hysteretic Dynamicsmentioning

confidence: 99%

Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

Kirkpatrick

Valasek

Haag

2013

Journal of Aerospace Information Systems

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Hysteretic dynamical systems are challenging to control due to their hard nonlinearity and difficulty in modeling. One type of system with hysteretic dynamics that is gaining use in aerospace systems is the shape-memory alloy-based actuator. These actuators provide aircraft and spacecraft systems with the ability to achieve component-level or vehicle-level geometry or shape changes. Characterization of the material dynamics and properties of these actuators is usually accomplished with empirical testing of physical specimens, in which the hysteresis dynamics are often abstracted to very simplified models or ignored entirely. Machine learning techniques have the potential to learn hysteretic dynamics, but they routinely encounter difficulties that make them unsuitable. This paper proposes and develops a reinforcement learning-based approach that directly learns an input-output mapping characterization of hysteretic dynamics, which is then used as a control policy. A hyperbolic tangent-based model is used to develop a simulation of a shape-memory alloy, which is then validated experimentally using the Sarsa algorithm. The simulation model produces the temperature-versus-strain behavior and characterizes both the major and minor hysteresis loops. The learning results produce a near-optimal control policy for modulating a shape-memory alloy wire to a specified length. Results presented in the paper show that casting the shape-memory alloy control problem as a reinforcement learning problem shows promise for characterizing and controlling shape-memory alloy hysteresis behavior.

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“…Khan et al 6,7 investigated the pseudoelastic response of SMAs on passive vibration isolation through numerical simulation and experimental correlation. A SMA simplified model and an empirical model based on system identification (Preisach model) were adapted to simulate pseudoelastic behavior of SMAs.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Vibration of a One-Degree of Freedom Shape Memory Alloy Oscillator: A Numerical-experimental Investigation

Lagoudas

Machado

Lagoudas

2005

46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

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Pseudoelastic Shape memory alloys (SMAs) are very attractive for passive vibration control due to their ability to sustain and retrieve large amounts of strain, dissipate high levels of energy and provide a restoring force to the system. They can be effectively used to attenuate vibrations of a primary system by introducing variable stiffness, and providing additional energy dissipation due to hysteresis. Motivated by these properties, this paper presents a dynamical investigation of a passive damping device, where the main elements are pseudoelastic SMA wires. The device, a mass connected to a frame by two SMA wires, was subjected to a series of continuous sinusoidal acceleration functions in the form of a sine sweep. Frequency responses and transmissibility of the device were analyzed for the case where the SMA wires were pre-strained at 4.0% of its original length. The temperatures of the wires throughout the dynamic tests were also recorded. In addition, numerical simulations of a single-degree of freedom SMA oscillator were conducted to corroborate experimental results. A thermodynamical constitutive model for SMAs was used to simulate constitutive pseudoelastic response of the SMA elements.

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Pseudoelastic SMA Spring Elements for Passive Vibration Isolation: Part I – Modeling

Cited by 40 publications

References 47 publications

Superelastic cellular NiTi tube-based materials: Fabrication, experiments and modeling

Superelastic cellular NiTi tube-based materials: Fabrication, experiments and modeling

Characterization and Control of Hysteretic Dynamics Using Online Reinforcement Learning

Nonlinear Vibration of a One-Degree of Freedom Shape Memory Alloy Oscillator: A Numerical-experimental Investigation

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