Design and numerical analysis of an SMA mesh-based self-folding sheet

Origami engineering, which is the practice of creating useful three-dimensional structures through folding and fold-like operations applied to initially two-dimensional entities, has the potential to impact several areas of design and manufacturing. In some instances, however, it may be impractical to apply external manipulations to produce the desired folds (e.g., as in remote applications such as space systems). In such cases, self-folding capabilities are valuable. A self-folding material or material system is one that can perform folding operations without manipulations from external forces. This work considers a concept for a self-folding material system. The system extends the 'programmable matter' concept and consists of an active, self-morphing sheet composed of two meshes of thermally actuated shape memory alloy (SMA) wire separated by a compliant passive layer. The geometric and power input parameters of the self-folding sheet are optimized to achieve the tightest local fold possible subject to stress and temperature constraints. The sheet folding performance considering folds at different angles relative to the orientation of the wire mesh is also analyzed. The optimization results show that a relatively low elastomer thickness is preferable to generate the tightest fold possible. The results also show that the self-folding sheet does not require large power inputs to achieve an optimal folding performance. It was shown that the self-folding sheet is capable of creating similar quality folds at different orientations.

[1]  Ergun Akleman,et al.  Paper-Strip Sculptures , 2010, 2010 Shape Modeling International Conference.

[2]  H Tanaka,et al.  Programmable matter by folding , 2010, Proceedings of the National Academy of Sciences.

[3]  Evin Gultepe,et al.  Self-folding devices and materials for biomedical applications. , 2012, Trends in biotechnology.

[4]  Justin Manzo,et al.  Analysis and optimization of the active rigidity joint , 2009 .

[5]  Ergun Akleman,et al.  Insight for Practical Subdivision Modeling with Discrete Gauss-Bonnet Theorem , 2006, GMP.

[6]  K. Kuribayashi,et al.  Self-deployable origami stent grafts as a biomedical application of Ni-rich TiNi shape memory alloy foil , 2006 .

[7]  L. Treloar Stress-Strain Data for Vulcanized Rubber under Various Types of Deformation , 1944 .

[8]  Dimitris C. Lagoudas,et al.  Advanced methods for the analysis, design, and optimization of SMA-based aerostructures , 2011 .

[9]  Alastair Johnson,et al.  Mechanical tests for foldcore base material properties , 2009 .

[10]  Georges Dumont,et al.  Finite element simulation for design optimisation of shape memory alloy spring actuators , 2005 .

[11]  Tomohiro Tachi Geometric Considerations for the Design of Rigid Origami Structures , 2010 .

[12]  J Zanardiocampo,et al.  Characterization of GaAs-based micro-origami mirrors by optical actuation , 2004 .

[13]  Toshikazu Kawasaki On relation between mountain-creases and valley -creases of a flat origami , 1990 .

[14]  A. Johnson,et al.  Modelling Impact Damage in Sandwich Structures with Folded Composite Cores , 2010 .

[15]  Dimitris C. Lagoudas,et al.  Characterization and 3-D modeling of Ni60Ti SMA for actuation of a variable geometry jet engine chevron , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[16]  William S. Slaughter The Linearized Theory of Elasticity , 2001 .

[17]  Dimitris C. Lagoudas,et al.  Design optimization and uncertainty analysis of SMA morphing structures , 2012 .

[18]  Darren J. Hartl,et al.  Simulation-Based Design of a Self-Folding Smart Material System , 2013 .

[19]  Robert J. Lang,et al.  A computational algorithm for origami design , 1996, SCG '96.

[20]  Darren J. Hartl,et al.  Computational Design of a Reconfigurable Origami Space Structure Incorporating Shape Memory Alloy Thin Films , 2012 .

[21]  David A. Huffman,et al.  Curvature and Creases: A Primer on Paper , 1976, IEEE Transactions on Computers.

[22]  Melanie Mitchell,et al.  An introduction to genetic algorithms , 1996 .

[23]  G. Barbastathis,et al.  The nanostructured Origami/sup TM/ 3D fabrication and assembly process for nanomanufacturing , 2004, 4th IEEE Conference on Nanotechnology, 2004..

[24]  D. Lagoudas,et al.  Three-dimensional modeling and numerical analysis of rate-dependent irrecoverable deformation in shape memory alloys , 2010 .

[25]  M. Dickey,et al.  Self-folding of polymer sheets using local light absorption , 2012 .

[26]  L. G. Machado,et al.  Constitutive model for the numerical analysis of phase transformation in polycrystalline shape memory alloys , 2012 .

[27]  OcampoJosé M. Zanardi,et al.  Characterization of GaAs-based micro-origami mirrors by optical actuation , 2004 .

[28]  Youwei Du,et al.  Martensitic transformation and related magnetic effects in Ni—Mn-based ferromagnetic shape memory alloys , 2013 .

[29]  David H. Gracias,et al.  Chemically Controlled Miniature Devices: Microchemomechanical Systems (Adv. Funct. Mater. 13/2011) , 2011 .

[30]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[31]  David H Gracias,et al.  Algorithmic design of self-folding polyhedra , 2011, Proceedings of the National Academy of Sciences.

[32]  Thomas C. Hull On the Mathematics of Flat Origamis , 1994 .

[33]  Richard L. Baron,et al.  Twenty-meter space telescope based on diffractive Fresnel lens , 2004, SPIE Optics + Photonics.

[34]  Erik D. Demaine,et al.  Geometric folding algorithms - linkages, origami, polyhedra , 2007 .

[35]  W. Huang On the selection of shape memory alloys for actuators , 2002 .

[36]  B. Meissner Tensile stress-strain behaviour of rubberlike networks up to break. Theory and experimental comparison , 2000 .

[37]  T. Hughes,et al.  Finite rotation effects in numerical integration of rate constitutive equations arising in large‐deformation analysis , 1980 .

[38]  Shigeki Nashima,et al.  Characterization of GaAs-based micro-origami mirrors by optical actuation , 2004 .

[39]  D. Lagoudas,et al.  Numerical implementation of a shape memory alloy thermomechanical constitutive model using return mapping algorithms , 2000 .

[40]  Jay Fineberg,et al.  The dynamics of rapid fracture: instabilities, nonlinearities and length scales , 2013, Reports on progress in physics. Physical Society.

[41]  Yves Weinand,et al.  ORIGAMI - Folded Plate Structures, Architecture , 2008 .

[42]  Dimitris C. Lagoudas,et al.  Analysis and optimization of improved hybrid SMA flexures for high rate actuation , 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[43]  L. Treloar,et al.  Stress-strain data for vulcanised rubber under various types of deformation , 1944 .

[44]  Darren J. Hartl,et al.  Design and Optimization of a Shape Memory Alloy-Based Self-Folding Sheet , 2013 .

[45]  Dimitris C. Lagoudas,et al.  Use of a Ni60Ti shape memory alloy for active jet engine chevron application: II. Experimentally validated numerical analysis , 2009 .

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