Numerical and experimental analysis of inhomogeneities in SMA wires induced by thermal boundary conditions

Published data on NiTi wire tensile tests display a surprising variety of results even though the same material has been studied. Hysteresis shapes can be observed that range from box- to cigar-like. In some cases, the variation may be the result of different post-fabrication treatment, such as annealing or cold working procedures. However, oftentimes local data are generated from average stress/strain concepts on the basis of global force and end displacement measurements. It is well known among experimentalists that this has a smoothening effect on data, but there is an additional, less well-known mechanism at work as well. This effect is due to thermomechanical coupling and the thermal boundary condition at the ends of the wires, and it manifests itself in a strong data dependence on the length of the employed specimen. This paper illustrates the effects of a thermal boundary layer in a 1D wire by means of an experimental study combined with a simulation based on the fully coupled momentum and energy balance equations. The system is modeled using COMSOL FEA software to simulate the distribution of strain, temperature, resistivity, and phase fractions. The local behavior is then integrated over the length of the wire to predict the expected behavior of the bulk wire as observed at its endpoints. Then, simulations are compared with results from a tensile test of a 100 mum diameter Dynalloy Flexinol wire between two large, steel clamps. Each step of the tensile test experiment is carefully controlled and then simulated via the boundary and initial conditions of the model. The simulated and experimental results show how the thermal boundary layer affects different length SMA wires and how the inhomogeneity prevents transition to austenite at the wire endpoints. Accordingly, shorter wires tend to be softer (more martensitic) than longer wires and exhibit a large reduction in recoverable strain because a larger percentage of their total length is impacted by the thermal boundary.

[1]  James H. Mabe,et al.  Shape Memory Alloy Based Morphing Aerostructures , 2010 .

[2]  I. Müller,et al.  A model for phase transition in pseudoelastic bodies , 1980 .

[3]  Jordan E. Massad,et al.  A homogenized free energy model for hysteresis in thin-film shape memory alloys , 2005 .

[4]  D. Lagoudas Shape memory alloys : modeling and engineering applications , 2008 .

[5]  Yongzhong Huo,et al.  A mathematical model for the hysteresis in shape memory alloys , 1989 .

[6]  Chao-Chieh Lan,et al.  A Computational Design Method for a Shape Memory Alloy Wire Actuated Compliant Finger , 2009 .

[7]  Frederick T. Calkins,et al.  Characterization of varied geometry shape memory alloy beams , 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[8]  Stefan Seelecke,et al.  FE analysis of SMA-based bio-inspired bone–joint system , 2009 .

[9]  Yong Qing Fu,et al.  Characterization of TiNi shape-memory alloy thin films for MEMS applications , 2001 .

[10]  Stefan Seelecke,et al.  A coupled thermomechanical model for shape memory alloys—From single crystal to polycrystal , 2008 .

[11]  Gregory D. Buckner,et al.  Modeling the dynamic behavior of a shape memory alloy actuated catheter , 2008 .

[12]  Stefan Seelecke,et al.  Modeling the dynamic behavior of shape memory alloys , 2002 .

[13]  William L. Roberts,et al.  A new methodology for targeting drug-aerosols in the human respiratory system , 2008 .

[14]  G. Carman,et al.  A thin film nitinol heart valve. , 2005, Journal of biomechanical engineering.

[15]  Clement Kleinstreuer,et al.  Comparison of analytical and CFD models with regard to micron particle deposition in a human 16-generation tracheobronchial airway model , 2009 .

[16]  Stefan Seelecke,et al.  A Multi-Channel Power Controller for Actuation and Control of Multiple SMA Actuators , 2009 .

[17]  Y. Chemisky,et al.  Constitutive model for shape memory alloys including phase transformation, martensitic reorientation and twins accommodation , 2011 .

[18]  Q. Chen,et al.  Vibration analysis and control of flexible beam by using smart damping structures , 1999 .

[19]  Stefan Seelecke,et al.  BATMAV: a biologically inspired micro air vehicle for flapping flight: kinematic modeling , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[20]  Stefan Seelecke,et al.  Shape memory alloy actuators in smart structures: Modeling and simulation , 2004 .

[21]  Stefan Seelecke,et al.  Modeling and experimental characterization of the stress, strain, and resistance of shape memory alloy actuator wires with controlled power input , 2012 .

[22]  Maenghyo Cho,et al.  Structural morphing using two-way shape memory effect of SMA , 2005 .

[23]  Arata Masuda,et al.  An overview of vibration and seismic applications of NiTi shape memory alloy , 2002 .

[24]  M. Achenbach A model for an alloy with shape memory , 1989 .

[25]  John Hunter Crews,et al.  Development of a Shape Memory Alloy Actuated Robotic Catheter for Endocardial Ablation: Modeling, Design Optimization, and Control. , 2011 .

[26]  Oliver Kastner,et al.  Implementation of the Müller-Achenbach-Seelecke Model for Shape Memory Alloys in ABAQUS , 2009, Journal of Materials Engineering and Performance.

[27]  Inderjit Chopra,et al.  In-flight tracking of helicopter rotor blades using shape memory alloy actuators , 1999 .

[28]  Stefan Seelecke,et al.  Multifunctional SMA-based smart inhaler system for improved aerosol drug delivery: design and fabrication , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[29]  O. Heintze A Computationally Efficient Free Energy Model for Shape Memory Alloys - Experiments and Theory , 2004 .

[30]  D. Lagoudas,et al.  A thermodynamical constitutive model for shape memory materials. Part I. The monolithic shape memory alloy , 1996 .

[31]  Fred van Keulen,et al.  Modeling of shape memory alloy shells for design optimization , 2008 .

[32]  Rajnikant V. Patel,et al.  Autonomous Image-Guided Robot-Assisted Active Catheter Insertion , 2008, IEEE Transactions on Robotics.

[33]  Rohan Hangekar A Multi-Channel Power Controller for Actuation and Control of Shape Memory Alloy Actuators. , 2010 .

[34]  James H. Mabe,et al.  Overview of Boeing’s Shape Memory Alloy Based Morphing Aerostructures , 2008 .

[35]  John A. Shaw,et al.  Thermodynamics of Shape Memory Alloy Wire: Modeling, Experiments, and Application , 2006 .

[36]  L. Brinson One-Dimensional Constitutive Behavior of Shape Memory Alloys: Thermomechanical Derivation with Non-Constant Material Functions and Redefined Martensite Internal Variable , 1993 .

[37]  Stefan Seelecke,et al.  A unified framework for modeling hysteresis in ferroic materials , 2006 .

[38]  Qifu Li,et al.  Modeling and Finite Element Analysis of Smart Materials , 2006 .