FEA and Experimental Studies of Adaptive Composite Materials with SMA Wires

Similar documents
Shape Memory Alloy Knowledge Evaluation Test. 1. What is the basic mechanism of the shape memory effect (SME)?

Finite Element Simulation of Al (2024) Adaptive Composites with Embedded Cu-Al-Ni SMA Particles

Characterization and 3-D Modeling of Ni60Ti SMA for Actuation of a Variable Geometry Jet Engine Chevron

Lecture Notes. Elasticity, Shrinkage and Creep. Concrete Technology

ON MINIMISING THE OBTRUSIVITY OF AN OPTICAL FIBRE SENSOR WITH RESPECT TO MATRIX CRACKING

INTEGRATED FINITE ELEMENT ENVIRONMENT FOR COMPOSITE PROCESS SIMULATION

MEASUREMENT OF THE MECHANICAL PROPERTIES OF A CARBON REINFORCED BISMALEIMIDE OVER A WIDE RANGE OF TEMPERATURES

Stress-Induced Tuning of Ultrasonic Additive Manufacturing Al-NiTi Composites

SMART VORTEX GENERATOR USING SHAPE MEMORY ALLOY

Mechanical behavior of crystalline materials - Stress Types and Tensile Behaviour

Vibration Analysis of Propeller Shaft Using FEM.

SCHOOL OF ENGINEERING BENG (HONS) MECHANICAL ENGINEERING SEMESTER /2016 STRUCTURES AND MATERIALS MODULE NO: AME6002

1E5 Advanced design of glass structures. Martina Eliášová

SPECIALTY MATERIALS, INC.

Carder 1. FABRICATION AND CYCLIC LOADING OF SUPER-ELASTIC SHAPE MEMORY ALLOY REINFORCED POLYMER Rachel Carder

INFLUENCE OF CURVATURE ON FOAM CORE SANDWICH PANELS

NPL Manual. Modelling Creep in Toughened Epoxy Adhesives

FRACTURE TOUGHNESS EVALUATION OF COMPOSITE/METAL ADHESIVE STRUCTURE IN CRYOGENIC ENVIRONMENT

Shape Memory Alloys: Thermoelastic Martensite

Finite Element Analysis of Flat Joints in Metallic Honeycomb Sandwich Beams

FE MODELING OF CFRP STRENGTHENED CONCRETE BEAM EXPOSED TO CYCLIC TEMPERATURE, HUMIDITY AND SUSTAINED LOADING

Mechanical Behaviour of Polymer Sandwich Composites under Compression

Thermo-Mechanical Properties of Shape Memory Alloy. Tan Wee Choon, Saifulnizan Jamian and Mohd. Imran Ghazali

Numerical Analysis of Torsional Behavior of Ultra-High Performance Fiber Reinforced Concrete

Residual Stress Analysis in Injection Moulded Polycarbonate Samples

Stress calculation at tube-to-tubesheet joint using spring model and its comparison with beam model

Address for Correspondence 1,2 Department of Mechanical Engineering R.I.T. Islampur , Maharashtra India.

3-D FEA Modeling of Ni60Ti40 SMA Beams as Incorporated in Active Chevrons

Proceedings of the ASME nd International Conference on Ocean, Offshore and Arctic Engineering OMAE2013 June 9-14, 2013, Nantes, France

Stress Analysis of Underground GRP Pipe Subjected to Internal and External Loading Conditions

The Flexural Properties of Glass Fabric/Epoxy -Rigid Polyurethane Foam Core Sandwich Composites at Different Span to Depth Ratios and Densities

Design and Analysis of Multilayer High Pressure Vessels and Piping Tarun Mandalapu 1 Ravi Krishnamoorthy. S 2

EXPERIMENTAL STUDY ON DOUBLE LAP JOINTS COMPOSED OF HYBRID CFRP/GFRP LAMINATE

MECHANICAL PROPERTIES PROPLEM SHEET

FINITE ELEMENT ANALYSIS OF REINFORCED CONCRETE BRIDGE PIER COLUMNS SUBJECTED TO SEISMIS LOADING

BEAMS: COMPOSITE BEAMS; STRESS CONCENTRATIONS

Carbon-fiber Reinforced Concrete with Short Aramid-fiber Interfacial Toughening

Design under high windload

CHAPTER 3 OUTLINE PROPERTIES OF MATERIALS PART 1

Application of the modified split-cantilever beam for mode-iii toughness measurement

Bearing and Delamination Failure Analysis of Pin Loaded Composite Laminates

Flexural Behaviour of Sandwich Composite Panels Fabricated Through Different Vacuum Bagging Techniques

Healable, Shape Memory Polymers for Reflexive Composites

Thermal response of novel shape memory polymer-shape memory alloy hybrids

A New Standard for Radiographic Acceptance Criteria for Steel Castings

Finite Element Analysis of Impact Damaged Honeycomb Sandwich

ACOUSTIC EMISSION BEHAVIOR OF FAILURE PROCESSES OF GLASS-FIBER LAMINATES UNDER COMPLEX STATE OF LOADING

Comparison of Energy Absorption Characteristics of Thermoplastic Composites, Steel and Aluminum in High-Speed Crush Testing of U-Beams

Validation of VrHeatTreat Software for Heat Treatment and Carburization

Determination of through thickness properties for Composite thick laminate S.Vali-shariatpanahi * * Stress Engineer/Durability group leader -Airbus

Todd F. Shupe Associate Professor School of Renewable Natural Resources Louisiana State University AgCenter Baton Rouge, LA 70803

EFFECT OF LOCAL WALL THINNING ON FRACTURE BEHAVIOR OF STRAIGHT PIPE

Part 4 MECHANICAL PROPERTIES

E APPENDIX. The following problems are intended for solution using finite element. Problems for Computer Solution E.1 CHAPTER 3

Stress Distribution in Masonry Walls, Loaded in Plane, Simulated with Comsol.

Finite element analysis and optimization of a mono parabolic leaf spring using CAE software

Study of Mechanical Behaviour of Polymer/Glass Fibre Reinforced Polymer Matrix Composites

Scientific Seminar Design of Steel and Timber Structures SPbU, May 21, 2015

Determination of Failure Strength of Flat Plate Weld Joint Using Finite Element Analysis

Technical Information. BASF Plastics key to your success. Estimating cooling times in injection moulding

b Shockform Aéronautique Inc., Canada,

THE RTM-LIGHT MANUFACTURING PROCESS: EXPERIMENTATION AND MODELLING

Dynamics of Composite Beam with Transverse Non-Propagating Open Crack

Nonlinear Models of Reinforced and Post-tensioned Concrete Beams

Impact Analysis of Density Graded E-Glass Composite Laminate

Study on Mixed Mode Crack-tip Plastic Zones in CTS Specimen

SEISMIC BEHAVIOR OF STEEL RIGID FRAME WITH IMPERFECT BRACE MEMBERS

Finite Element Analysis on the Unloading Elastic Modulus of Aluminum Foams by Unit-cell Model

Analysis of Composite Structure Using HM12.0/Radioss

Nonlinear Analysis of Shear Dominant Prestressed Concrete Beams using ANSYS

DURABILITY OF PRESSURE SENSITIVE ADHESIVE JOINTS

Heat Insulation Analysis of an Aluminium Honeycomb Sandwich Structure

Mechanical Properties of Materials

LONG TERM DEFLECTION OF TIMBER BEAMS SUMMARY INTRODUCTION. Tomi Toratti

Gage Series Stress Analysis Gages

VIBRATION ANALYSIS OF A CANTILEVER BEAM FOR OBLIQUE CRACKS

NLFEA Fire Resistance of 3D System Ceiling Panel

COMPOSITE END-FITTINGS FOR LIGHTWEIGHT TELESCOPE APPLICATIONS

A Review of Suitability for PWHT Exemption Requirements in the Aspect of Residual Stresses and Microstructures

STRENGTH DISTRIBUTION COMPARISON OF AEROSPACE AND WIND ENERGY CARBON FIBER REINFORCED EPOXY. Eric M. Jensen*, Ray S. Fertig III*

Modeling Component Assembly of a Bearing Using Abaqus

FINITE ELEMENT ANALYSIS ON LEAF SPRING MADE OF COMPOSITE MATERIAL

CHARACTERIZATION OF PHYSICAL AND MECHANICAL PROPERTIES OF RIGID POLYURETHANE FOAM

Behavior of Concrete-Filled FRP Tubes Under Bending, Axial Loads, and Combined Loading. Amir Fam, Bart Flisak and Sami Rizkalla

Design Analysis of Carbon/Epoxy Composite Leaf Spring

Seoul National University, San 56-1, Shillim-Dong, Kwanak-Gu, Seoul, Korea,

Thermo-Mechanical Reliability Assessment of TSV Die Stacks by Finite Element Analysis

Mechanical Characterization of PU Based Sandwich Composites with Variation in Core Density

Residual Stress Pattern of Stainless Steel SHS

Effect of Spray Quenching Rate on Distortion and Residual Stresses during Induction Hardening of a Full-Float Truck Axle

DETERMINATION OF FAILURE STRENGTH OF CURVED PLATE WELD JOINT USING FINITE ELEMENT ANALYSIS

DESIGN OF A VARIABLE STIFFNESS LEG USING SHAPE MEMORY POLYMER COMPOSITES

Effect of Bar-cutoff and Bent-point Locations on Debonding Loads in RC Beams Strengthened with CFRP Plates

Strengthening of Reinforced Concrete Beams using Near-Surface Mounted FRP Mohamed Husain 1, Khaled Fawzy 2, and Mahmoud Nasr 3

Numerical Modeling of Slab-On-Grade Foundations

ScienceDirect. Deep drawing of cylindrical cup using incremental electromagnetic assisted stamping with radial magnetic pressure

Finite Element Simulation of the Process of Aluminum. Alloy Resistance Spot Welding

Local buckling of slender aluminium sections exposed to fire. Residual stresses in welded square hollow sections of alloy 5083-H111

NON LINEAR ANALYSIS FOR PIPE BENDS DUE TO PLASTIC LOAD MASTER THESIS KHAMTANH SANTISOUK NIM: Mechanical Engineering Department

Smart Glass Epoxy Laminates with Embedded Ti-based Shape Memory Alloy

Transcription:

FEA and Experimental Studies of Adaptive Composite Materials with SMA Wires K.Kanas, C.Lekakou and N.Vrellos Abstract This study comprises finite element simulations and experimental studies of the shape memory effect due to the presence of SMA (shape memory alloy) wires in composite materials. FEA was performed using ANSYS, where the prestrain was modelled by equivalent changes in the expansion coefficient of the SMA. Three case-studies were simulated and their predictions were compared with experimental data: (a) the heating of a prestrained SMA ribbon in epoxy; (b) the heating of a 4 ply o /9 o / o /9 o fibre composite (without SMA wires), which causes deflection due to the difference in the expansion coefficients of matrix and fibres and (c) the heating of a 4 ply o /9 o / o /9 o fibre composite with SMA wires, which included the synergy of the shape memory effects of the matrix/fibre system and SMA wires. Index Terms adaptive, composites, shape memory effect, SMA I. INTRODUCTION Shape memory alloys (SMAs) have the ability to return to a predetermined shape when heated past the martensitic transformation, with the potential of reversible strains of several percent, generation of high recovery stresses and high power/weight ratios. The integration of thin SMA wires in fibre reinforced composite materials leads to so-called adaptive composite materials. Such SMA composites can be used to actively control elastic modulus, internal stress state and natural vibration frequencies in the case of hard matrices and change shape in the case of soft matrices [1,2]. II. FEA SIMULATION OF THE SHAPE MEMORY EFFECT OF AN SMA RIBBON EMBEDDED IN EPOXY The interaction between the embedded SMA and the host material is critical since most applications require transfer of load or strain from the wire to the host. In addition, the host material may have a pronounced effect on the local stress state and consequently the transformation behaviour of the embedded SMA wires. This case-study is based on the experiments of Jonnalagadda et al [3] who measured the stress distribution during the SMA transformation by using the photoelastic technique. In the fabrication stage, they embedded a single NiTi ribbon of 1.22 mm width and.3 mm thickness in an epoxy matrix which cured at room temperature. The ribbon was annealed at 6 C and then sandblasted in order to maximize the adhesion with the matrix. Before it was embedded into the epoxy, a uniform 1 % strain was applied on it. The main problem seemed to be debonding where, even with careful sample preparation, small debonds of approximately 1 mm in length formed at the right and left edges of the sample where the ribbon emerged from the polymer block. The current study, first involved the construction of the 3-D model of the experimental case, using ANSYS. It included two types of materials, the EPON 828 epoxy matrix and the SMA NiTi ribbon and the data for their properties are presented in Table 1. The disadvantage of using this epoxy was that the room temperature cure epoxies have low glass transition temperature (T g ) and for this reason the heating cycle was stopped at 45 C, although the austenite finish temperature (A f = 57 C) of the ribbon is higher than the T g of the epoxy. The experiment started at 25 C at which the NiTi ribbon was in martensite state until 35 C, then the phase transformation started from 36 C (A s ) and the experiment stopped at 45 C. The Young s modulus of the ribbon was calculated from linear interpolation in the transition between martensitic to austenitic phases. During the experimental procedure, in order to heat up the ribbon, the exposed edges of the ribbon were connected to a power supply and heated resistively with a current of 1.55 A, which generated a steady state temperature of 45 C inside the ribbon in approximately 2 seconds. Manuscript received March 2, 27 All authors: School of Engineering, University of Surrey, Guildford, Surrey GU2 7XH, UK

Table 1 Material Properties of EPON 828 Epoxy Matrix and NiTi, where E is the Young s modulus, ν is the Poisson s ratio, α is the thermal expansion coefficient, Κ is the thermal conductivity, ρ is the density of the material, Tg is the glass transition temperature and c p is the specific heat capacity of the material, As is the Austenite start Temperature, A f is the Austenite finish Temperature, M s is the start Temperature of the Martensite phase and M f is the end Temperature of the Martensite phase. Property Epoxy EPON 828 NiTi Austenit e NiTi Martensite E(GPa) 2.5 49 1.9 Ν.33.3.3 α (x 1-6 K -1 ) 57. 12 12 K (W/m C).18 18 8.5 ρ (kg/m 3 ) 135 645 645 Tg ( o C) 56 - - A f ( C) - - 57 A s ( C) - - 35 M s ( C) - 21 - M f ( C) - -12 - c p (J/kg K) 15 322 322 The FEA simulations consisted of a sequence of transient thermal and structural analyses using ANSYS. In the former, it was assumed that the temperature inside the ribbon was increasing at 1 C/min. The solid, brick, 2 node elements SOLID9 and SOLID95 were selected for the thermal and structural analysis, respectively. The most difficult part of the structural analysis was to import into the ANSYS software the 1 % pre-strain that the ribbon had. Fig.1 presents a stress-strain graph, including the prestraining stage. This involves an initial application of stress on the martensitic phase at room temperature, exceeding the yield stress. Upon release of the stress, some of the strain is recovered but the plastic strain, ε o =.1, remains. From the graph in Fig. 1 and given that ANSYS was not able to incorporate initial strain conditions, an equation for the total strain was generated: ε TOT = ε ANSYS + ε ο (1) The equation for the total stress is: σ = Ε ε ANSYS + E ε ο (2) If it is assumed that the initial stress is equal to zero and equation 2 is interpolated for ε ANSYS between the two phases (Martensite and Austenite), it yields ε ANSYS = E σ E Aust ε o σ E Aust Mart ( 57 35) ( T 35) Equation 3 produces an equivalent expansion coefficient (negative as it really represents shrinkage), which is related to the shape memory effect between 35 and 57 C and is given by α x = ε + 12 x 1-6 (4) The results of the equivalent expansion coefficient for the NiTi ribbon between the two phases are presented in Table 2. The fact that the expansion coefficient, α, now incorporates the prestraining effect, effectively makes α anisotropic, depending on the prestrain direction. Table 2. Expansion coefficient of prestrained NiTi ribbon used in the ANSYS simulations for the first case-study. Temp. C α x α y α z 35 12 x 1-6 12 x 1-6 12 x 1-6 36-4.38 x 1-4 12 x 1-6 12 x 1-6 37-8.98 x 1-4 12 x 1-6 12 x 1-6 38-1.348 x 1-3 12 x 1-6 12 x 1-6 39-1.88 x 1-3 12 x 1-6 12 x 1-6 4-2.258 x 1-3 12 x 1-6 12 x 1-6 41-2.718 x 1-3 12 x 1-6 12 x 1-6 (3) The change of the expansion coefficient α x stops at 41 C, because the aim of the 1% strain in the ribbon was achieved, so from 41 C to 45 C it is again 12 x 1-6 for all axes. Fig. 1 Stress-strain graph for the prestraining stage First, a thermal FEA analysis was performed. There was a homogeneous initial temperature condition at 25 o C. The SMA ribbon between the two plates of epoxy matrix was heated up at a rate of 1 C/min from a room temperature of 25 C to 45 C. The duration of this analysis for the ribbon to reach 45 C was

12 sec and it was carried out in 2 steps. The air around the plate was maintained at 25 o C while a heat transfer coefficient was assigned between the epoxy block and the air. The thermal analysis was followed by a transient structural analysis. Fig.2 displays the stress intensity (SINT) results according to the Tresca Failure Criterion for multi-axial stresses at the final step of the structural thermal analysis. At this stage the ribbon has reached 45 C and the maximum stress intensity in the center of the ribbon is 168 MPa. The stress intensity seems to be maximum in the central region of the ribbon as expected from the experimental data. Stress intensity (MPa) 2 15 1 5 Pred Exp 1 2 3 4 5 Fig.3 Structural analysis results of maximum stress intensity as a function of temperature in the SMA ribbon Fig.2 Predictions of the stress intensity at the final step of the thermal-structural analysis Fig.3 presents the corresponding graph of predicted maximum stress intensity as a function of temperature in the SMA ribbon as well as the comparison with the experiment. The experimental data [3] have only two contours for the intensity stress at 5.2 MPa and at 15.6 MPa during the first 24 seconds of the experiment. In the postprocessing of the results in ANSYS a whole range of contours was obtained from which the maximum value is presented in Fig.3. In general, it can be seen that it compares well with the experimental data at 33 o C, but the predicted stress intensity values thereafter are much larger that the experimental data. This could be attributed to the fact that the FEA analysis did not take into account any debonding between the SMA ribbon and the epoxy matrix, whereas Jonnalagadda et al [3] reported that in their experiment they observed small debonds of approximately 1 mm in length at the edges of the sample that would have lowered the value of the principal stress difference. III. FEA SIMULATIONS AND EXPERIMENTAL STUDIES OF THE SHAPE MEMORY EFFECT IN A MULTILAYER FIBRE COMPOSITE LAMINATE WITH AND WITHOUT SMA WIRES First of all, the shape memory effect induced by the residual thermal stresses in the plies of multilayer fibre composite laminates was studied, before any SMA wires were introduced. In general in composites, the thermal expansion coefficient of the fibres is smaller than that of the matrix causing differential expansion in multilayer laminates with the different layers oriented in different directions, which ultimately causes warpage in the laminate. This warpage could also be used as a shape memory effect and its magnitude will be investigated in this study. The model laminate consisted of a glass fibre/polyester resin /9 / /9 composite with or without SMA wires. This analysis was separated into two, one without SMA wires and one with SMA wires, in order to see the difference between the shape memory effect due to the multiple fibre orientation in the asymmetric laminate and that due to the SMA wires. The FEA analysis was coupled with a corresponding experimental study. The laminate consisted of 4 plies of.35 mm thickness for each ply and a fibre volume fraction, V f =.4. Table 3 presents the properties of the matrix and fibre materials. Table 3 Properties of E-glass fibre and Crystic 2-46Pa, where ρ is the density, c p is the specific heat capacity, K is the thermal conductivity, ν is the Poison s ratio, α is the expansion coefficient and E is the Young s Modulus. Property E-glass fibre Crystic 2-46Pa ρ (kg/m 3 ) 245 12 c p (J/kg K) 8 12 K (W/m K) 1.4.2 ν.2.33 E (GPa) 75 3 α (K -1 ) 4.9 x 1-6 1 x 1-6 In order to calculate the properties of each composite ply, the rule of mixtures was used for ρ, c p, thermal conductivity

parallel to the fibres, Young s modulus parallel to the fibres and ν. For heat conduction in the direction perpendicular to the fibres, the situation is more complicated since the thermal conductivity then depends on the fibre arrangement which may be considered as square or hexagonal, for example. For parallel fibres in a square array, the composite thermal conductivity perpendicular to the fibres is given by [4]: K (Kf = Km (Kf + Km ) + (Kf + Km ) (Kf Km )Vf Km )Vf (5) The Young s Modulus of the composite in the direction perpendicular to the fibres is given by V E f = E f + ( 1 ) V f E m 1 (6) The expansion coefficient parallel and perpendicular to the fibre direction, is given by the relations α E V + α E ( 1 V ) f f f m m f α = (7) II E II α = V f f f f m ) ( 1 + ν ) α + (1 V )(1 + ν α α ν (8) A transient thermal and structural analysis (in sequential form) was applied to the 4-crossply laminate. The temperature was raised from 25 o C to 8 o C at 1 o C/min in 55 steps for a total of 11 min. Predictions were needed at 26, 35, 55, 75 and 8 C to compare with the experimental data at these temperatures, and hence the appropriate predictions were estimated by linear interpolation between the closest corresponding steps. Fig.4 presents the deflection in the y direction as predicted by ANSYS at 26 C, which shows that the maximum deflection occurs at the centre of the composite beam. Fig.5 presents a plot of predictions of this maximum central y-deflection as a function of temperature, corresponding to different time-steps in the structural analysis by ANSYS. As the multiplayer laminate is heated, its matrix expands, which affects mainly the 9 o plies, and causes bending of the laminate. The predicted values of maximum deflection increase almost linearly up to 7 o C. The experimental data follow the same trend where there is a predicted maximum displacement of.8 mm at 7 o C against a maximum experimental displacement of.756 mm, which is very close to the prediction within the expected experimental error. The deformation in the y-direction is reversed in the experimental results after a maximum at 65 o C. m II Fig.4 Deflected composite beam (without SMA wires) as predicted by ANSYS at 26 o C. Max displacement (mm) 1.8 Exp..6 Pred..4.2 2 4 6 8 1 Fig.5 Maximum central displacement of the 4 ply o /9 o / o /9 o fibre composite (without SMA wires), as predicted by ANSYS and experimental data during the heating cycle The shape memory effect due to different fibre orientations in the multilayer fibre composite is of the order of 1 mm deflection for the studied composite beam and for the polyester matrix. It is expected to be smaller in an epoxy matrix composite beam, due to the much lower thermal expansion coefficient of epoxy. The next step was to study the shape memory effect in the 4-ply o /9 o / o /9 o glass fibre/polyester laminate with 5 SMA cylindrical wires of.152 mm diameter, which were embedded between the second and third plies, their length in the longitudinal direction and equally spaced in the width direction (see Fig.6). The aim was to study the combined shape memory effects, due to the multiple-oriented multi-layer fibre/polyester plies and to the SMA wires.

Displacement (mm) 1.8.6.4.2 -.2 -.4 5 1 Fig.6. 3-D ANSYS model of the 4 ply o /9 o / o /9 o fibre composite with 5 SMA wires. From the previous analysis of the 4 ply fibre composite (without wires), it was concluded that when the laminate was heated externally at.5 o C/min, the temperature reached this value homogeneously throughout the laminate at the end of each step, so this temperature rise (from 25 o C to 8 o C at.5 o C/min) was applied as thermal condition in the present case-study for the transient structural analysis, without subjecting the model to a thermal analysis. The material properties for each composite ply were set up as in the previous case study and the properties for the SMA NiTi wires as in section II, where a 3% pre-strain was applied. The FEA model (see Fig.6) used SMA wires of cuboid shape to be able to construct a mesh which would be compatible with the rest of the geometry. Also, an 8 node, solid brick element, SOLID45, was used instead of the 2 node brick element, to reduce computer memory requirements, which were enormous due to the small diameter of wires. A transient structural analysis was performed using ANSYS in the temperature range of 25 to 45 o C, similarly to the first case-study with the SMA ribbon. Fig.7 illustrates the experimental results where the composite beam already has a certain degree of bending (warpage from the manufacturing stage) before the heating cycle starts. As the temperature was increased the initial displacement of the specimen was reduced due to the matrix expansion in the 9 o plies. At the same time, the shrinkage of SMA wires starts at 35 o C and contributes to flattening the specimen earlier (at 43 o C) than in the case without the SMA wires. Then the specimen curved in the inverse direction, reaching a maximum at about 45 C. Thereafter, the specimen reversed back to its original position and continued bending in this manner due to the shrinkage of the SMA wires as they recovered their original dimensions. Fig.7 Experimental results of maximum central beam displacement in the y direction during heating of the 4 ply o /9 o / o /9 o fibre composite with the SMA wires from 25 to 8 o C. Max displacement (mm).14.12.1.8.6.4.2 1 2 3 4 5 Fig.8 Maximum central displacement of the 4 ply o /9 o / o /9 o fibre composite with the SMA wires, as predicted by ANSYS Fig.8 displays the predictions by ANSYS; in this there is an initial bending of the beam up to a maximum displacement of.13 mm at 35 o C, due to the matrix expansion in the 9 o ply, although not as much as the fibre composite without the SMA wires (.2 mm at 35 o C), due to the counteraction of the SMA wires, which start shrinking at 35 o C. The SMA wires continue shrinking in their shape memory recovery stage as the specimen is heated further, and as a result they completely balance the matrix expansion effect at 45 o C, leading to the flattening of the laminate beam. Regarding the maximum first difference of the principal stresses, the predictions from ANSYS were.2 GPa and 1 GPa at 35 and 45 o C, respectively, indicating that the shape memory effect of the multilayer fibre/polyester composite can produce relatively small stresses but the shape memory effect of the SMA wires can produce a considerable stress difference of 1 GPa that could be recovered during cooling.

IV. CONCLUSIONS The technique of employing a varying expansion coefficient to simulate the effects of prestrain in SMA wires has been applied successfully in finite element analyses of the shape memory effect. The first case-study involved the shape memory effect of an SMA ribbon embedded in epoxy and demonstrated the problem of debonding between the SMA ribbon and the matrix, which was demonstrated by reduced stress intensity values. The second case-study involved SMA wires embedded in a 4 ply o /9 o / o /9 o fibre-polyester composite in which the shape memory effect of the SMA wires with regards to strain was of similar order of magnitude as the warpage effect due to the multiple orientation of the fibre plies, in which case the two effects would either combine or counter balance each other. The shape memory effect of the SMA wires produced large stress intensity values, which means that these composites can be used as force or deflection actuators. ACKNOWLEDGMENTS The authors would like to acknowledge Dr S.L.Ogin for useful discussions. REFERENCES 1. Balta J.A., Parlinska M, Michaud V., Gotthardt R., Manson J.-A.E Adaptive composites with embedded shape memory alloy wires, Proc. of the MRS Fall Meeting, Boston, 1999. 2. Friend C.M., Morgan N. The actuation response of model SMA hybrid laminates, J. de Physique, 1995, 5, C2 : 415-42 3. Jonnalagadda K.D., Sottos N.R., Qidwai M.A. and Lagoudas D.C. Transformation of embedded shape memory alloy ribbons, J. Intel. Mater. Sys. & Struct., 1998, 9(5): 379-39. 4. Behrens E. Thermal conductivities of composite materials, J. Comp. Mater., 1968, 2: 2-17.