Design-oriented modelling of composite actuators with embedded shape memory alloy
Introduction
Shape memory alloys (SMAs) are materials that ‘remember’ their shape after loading and return to their original conformation after heating [1], [2], [3], [4], [5]. This effect comes about due to a phase transition from the cold martensitic phase to the hot austenitic phase and makes these materials ideal for a number of applications [6] such as stents [7], [8], [9], [10], sensors [11], [12] and sports apparel including golf clubs [13], [14]. SMAs have also been implemented in composite structures in order to enhance the functionality of such systems [15], [16], [17]. Another field in which SMAs have generated a great deal of interest is that of actuation. SMA-based actuators have the potential to exhibit a wide range of actuation properties ranging from high force/low stroke ratios for SMA wires to low force/high stroke ratios for SMA spring-based systems [18], [19], [20], [21]. Typical SMA actuators are designed as two component systems incorporating an agonist-antagonistic relationship. The counterbalance effect provided by the additional component to the system besides the SMA part may come about in various forms, including a fixed load, an elastic material or even an opposing SMA system, and its main function is to impart reusability to the SMA actuator [22], [23], [24], [25], [26], [27], [28].
One method to produce such two-component SMA actuators is by embedding SMA wires in a matrix [29], [30], [31], [32]. This technique involves stretching an SMA wire and forming a matrix by pouring the uncured resin around the pinned, stretched wire. Once the resin cures and the matrix is formed, the wire is released and the system equilibrates at a fixed displacement point, provided that there is a good level of adhesion between the matrix and the wire. One may obtain an actuation effect from this composite system by heating the wire. Then, once the system is cooled, the matrix, which acts as a counterbalance to the SMA wire, forces the actuator to return to its original equilibrium point, hence reversing the contraction of the wire and making the actuator reusable.
The efficacy of an SMA composite actuator is dependent primarily on the relative stiffnesses of the counterbalance and the SMA component [26], [28]. If the counterbalance component is too stiff, then the SMA component will not be able to return to its original size when heated. On the other hand, if the counterbalance is too soft, it will not be able to reverse the actuation of the SMA component, rendering the actuator unsuitable for multiple usage. These problems highlight the delicate balance which one must consider when designing a SMA composite actuator.
In view of this, in this work, we present a method through which one may design and optimize the geometry of an SMA composite actuator in order to obtain a tailored stroke based on the individual force-displacement curves of the SMA and counterbalance components of the system. An analytical model which can predict the actuation output and recovery of the actuator was derived and validated using Finite Element (FE) simulations. This model is expected to facilitate the pre-design of SMA composite actuators by quantifying the relationship between the material properties of the individual components of the composite and the geometric parameters of the system. This model also improves on previous models found currently in literature [22], [33] by considering the recovery potential of the actuator and by considering the force-displacement behaviour of the martensitic SMA in terms of three distinct regions rather than as one linear model.
Section snippets
Theoretical approach
The model presented in this work is based on a two-component actuator system made up of an SMA and a counterbalance force. The model presented here is unidimensional, i.e. it considers only uniaxial tensile and compressive deformations and the actuator is assumed to be produced by the same principles described for the SMA wire/matrix composite actuator mentioned previously [29]. Broadly, this means that first the martensite SMA component is pre-stretched and then the counterbalance component is
Finite element methodology
In order to validate the theoretical approach presented in the previous section, a series of Finite Element simulations were conducted on a range of SMA actuators using the ANSYS16 Multiphysics software. These actuators were designed in the form of an SMA wire/strip and matrix composite similar to those proposed by [29]. This means that the SMA component is confined between two layers of matrix which act as the linear elastic counterbalance of the system. In order to achieve maximal
Results and discussion
Before comparing the theoretical approach with the Finite Element model, the terms used in Eqs. (1)–(21) must be reparametrized in terms of the stress-strain behaviour of the SMA as predicted by the Souza-Auricchio model, the mechanical properties of the matrix and geometric parameters of the actuator composite. Fig. 5 shows the stress-strain plots which may be obtained for the material parameters listed in the previous section for the SMA at low martensite temperature, T = 253.15 K, and high
Conclusion
In this work we have presented an analytical model which may be used to predict the actuation stroke and recovery of an SMA composite actuator. This model is expected to be of significant aid in the development of these actuators, particularly at the pre-design stage where the model could be used to elucidate the desired stiffness of the counterbalance element, through material properties and geometric parameters, and to find the ideal pre-stretch value for the SMA component. This method was
Acknowledgements
This work was partially supported by MIUR with project Prin 2015 n. 2015RT8Y45-PE8 on Smart Composite Laminates.
Data Availability
The raw/processed data required to reproduce these findings cannot be shared at this time as the data also forms part of an ongoing study.
References (47)
- et al.
A review of shape memory alloy research, applications and opportunities
Mater Des
(2014) - et al.
A robust three-dimensional phenomenological model for polycrystalline SMAs: analytical closed-form solutions
Int J Eng Sci
(2014) - et al.
Stimulus-responsive shape memory materials: a review
Mater Des
(2012) - et al.
Self-deployable origami stent grafts as a biomedical application of Ni-rich TiNi shape memory alloy foil
Mater Sci Eng A
(2006) - et al.
Strain sensors of shape memory alloys using acoustic emissions
Sensors Actuators, A Phys
(2005) - et al.
A phenomenological SMA model for combined axial-torsional proportional/non-proportional loading conditions
Mater Sci Eng, A
(2013) - et al.
Thermo-mechanical behavior of shape adaptive composite plates with surface-bonded shape memory alloy ribbons
Compos Struct
(2015) - et al.
SMA actuated compliant bistable mechanisms
Mechatronics
(2004) - et al.
The high potential of shape memory alloys in developing miniature mechanical devices: a review on shape memory alloy mini-actuators
Sensors Actuators, A Phys
(2010) - et al.
Design aspects of shape memory actuators
Mechatronics
(1998)
Increasing stroke and output force of linear shape memory actuators by elastic compensation
Mechatronics
Three-dimensional model for solids undergoing stress-induced phase transformations
Eur J Mech A/Solids
Stress-induced phase transformation and detwinning in NiTi polycrystalline shape memory alloy tubes
Mech Mater
Cyclic deformation of NiTi shape memory alloys
Mater Sci Eng, A
Superelastic and cyclic response of NiTi SMA at various strain rates and temperatures
Mech Mater
A note on size effect in actuating NiTi shape memory alloys by electrical current
Mater Des
Functional fatigue of Ni-Ti shape memory wires under various loading conditions
Int J Fatigue
Shape Memory Alloys
Smart materials: properties, design and mechatronic applications
Proc Inst Mech Eng Part L J Mater Des Appl
Biomedical applications of shape memory alloys
J Metall
Stainless and shape memory alloy coronary stents: a computational study on the interaction with the vascular wall
Biomech Model Mechanobiol
History and current situation of shape memory alloys devices for minimally invasive surgery
Open Med Devices J
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