The machine is the material: Structures that mimic one-dimensional thermoelastic materials

The machine is the material: Structures that mimic one-dimensional thermoelastic materials

Matthew P. O’Donnell Jonathan P. Stacey Isaac V. Chenchiah Alberto Pirrera Bristol Composites Institute (ACCIS), University of Bristol, Queen’s Building, Bristol UK, BS8 1TR School of Mathematics, University of Bristol, University Walk, Bristol UK, BS8 1TW
Abstract

Materials that behave like machines, e.g. functional materials that are able to change shape in response to external stimuli (Bhattacharya and James, 2005), often do so by exploiting phase transitions. Shape memory materials and the tail sheath of Bacteriophage T4 are two well-known examples. For the resulting machine to be effective, the material needs to have desirable and tunable properties. Developing such materials has proven to be an endeavour which requires considerable expertise in materials science, engineering and mathematics (Zhang et al., 2009).

Here, we reverse this approach by instead designing a machine that acts as a material. Our methodology is independent of characteristic length, allowing us to design behaviour from the architected material through to the macroscopic scale. Specifically, we present thermally-actuated structures whose effective continuum behaviour is that of one-dimensional thermoelastic materials. We show that these structures may possess a range of behaviours, such as shape memory, zero or negative thermal expansivity. Moreover, the amplitude

of the behaviour, e.g. length change at critical temperature or magnitude of thermal expansivity, can exceed what is attainable through conventional materials. Seemingly incompatible features, such as low barriers to transformation and stiffness across high elongations, can be combined; the designer can independently control the critical heating and cooling temperatures and eliminate hysteresis, if desired; changes in length can be either continuous or discontinuous; and shape memory can be combined with negative thermal expansivity.

keywords:
Nonlinear Elasticity, Thermoelastic Material, Composites, Anisotropy, Meta-Material, Architected-Material
journal:

1 Introduction

Advanced structures often need internal mechanisms to achieve adaptability. Instead, structures made of transformative materials can adapt to the environment without requiring complex actuation mechanisms. The potential advantages offered by transformative materials have lead to significant efforts to tailor them for adaptivity. Shape memory alloys (SMAs) are a well-known example (Bhattacharya and James, 2005). SMAs and other multi-physics-based actuators have been extensively investigated for industrial use (Sigmund, 2001; Frecker, 2003; Hartl and Lagoudas, 2007). In general, there have been significant efforts to tune the thermal properties of materials and structures for bespoke adaptivity (Sigmund and Torquato, 1996; Miller et al., 2009; Tao et al., 2015; Boatti et al., 2017). Nevertheless, despite the many successes of materials-based approaches, there remain limitations on the performance achievable, e.g. small strains, temperature hysteresis and low stiffness.

Herein, instead of attempting to tailor material properties to obtain desired macroscopic responses, we embed functionality at the structural component level; see, for instance, Bertoldi (2017). By coupling anisotropic stiffness properties with nonlinear geometric deformations we can achieve desired adaptive macroscopic behaviours, whilst also significantly expanding the range of possible responses beyond what is achievable through material tailoring alone.

Including nonlinear geometric effects to obtain functional structural behaviours (Wang et al., 2013; Fraternali et al., 2015; Groh et al., 2018) reflects a design paradigm which is seen across various length scales from microstructure tailoring (Xia and Breitkopf, 2017) to large morphing/deployable systems (Pirrera et al., 2010; Chen et al., 2012; Dewalque et al., 2018). Of specific relevance to this paper are composite lattice structures that have been studied as part of hierarchical design concepts (O’Donnell et al., 2016).

The present paper is based on the behaviour of the composite helical lattice structure proposed by Pirrera et al. (2013) and inspired by the virus Bacteriophage T4. This lattice utilises geometry, anisotropy, and pre-stress as a source of nonlinearity and the ensuing functionality. Its elastic response was shown to be robust, repeatable, and tailorable, making it a candidate for the development of either passively or actively actuated architected materials.

In this work, we consider temperature-dependent behaviour, which provides an additional means for actuation. Thermal stresses act to modify the pre-stress of the lattice, modifying its energetic landscape. The desired temperature-dependent responses may be achieved through a careful balance of the stiffness of the strips that the lattice is comprised of, their thermal response, and their mechanical pre-stress. Specifically, we present thermally-actuated one-dimensional structures that can:

  • behave as SMAs at the structural length scale.

  • be tailored to create negative thermal expansivity or other unusual thermal expansion profiles.

Similar thermal responses arising from nonlinear geometric reconfigurations are observed across length scales. At the material level, mechanisms in crystalline lattices which lead to negative thermal expansivities are analogous to the geometric effects of the helical structure proposed here (Barrera et al., 2005). At the structural level, by tailoring the void space of hybrid lattice structures, Jefferson et al. (2009) achieve a variety of tuneable thermal responses that differ significantly from the expansion behaviour of the constituent parts. However, it is often difficult to tune a structure’s or a material’s thermal response whilst also maintaining a desirable stiffness profile. In our approach, the potential to obtain better trade-offs is increased, because geometry, mechanical pre-stress and material anisotropy can be designed synergistically to give the lattice specific effective stiffness properties.

We now proceed to outline the mathematical framework underpinning the behaviour of the thermally-adaptive lattice structures presented herein. Examples of the range of responses that can be obtained are discussed along with the results obtained from a proof-of-concept demonstrator. It is noted that thermal actuation is just one possible route to adaptivity. Alternatives such as piezoelectricity (Tawfik et al., 2011) and magnetoelectricity (Palneedi et al., 2016) could readily be integrated into the present model.

2 A thermoelastic helical lattice structure

Pirrera et al. (2013) developed an analytical energy-based formulation to describe the behaviour of helical lattices comprised of anisotropic strips. Here, in order to embed thermal responsivity, we exploit the material’s extension-curvature couplings and amplify thermally-induced deformations kinematically through the structural arrangement. A simple system such as a bi-morph, which is a strip composed of two materials with different coefficients of thermal expansions (CTEs), is sufficient to show the occurrence of such thermally-induced deformations. More generally, anisotropic materials offer increased tailorability and so are included in our formulation.

2.1 Lattice Geometry

The lattice is represented schematically in Figure 1 and comprises of helices of each handedness. Herein, in contrast to Pirrera et al. (2013), we assume a rhomboidal unit cell. This restriction prevents the lattice from twisting upon elongation or contraction. Consequently, the lattice extension, , characterises the system uniquely (O’Donnell et al., 2016). The horizontal diagonal of the unit cell is , where is the radius of the helices, and the vertical diagonal is . It is convenient to set the side length to be .

Referring to Figure 1, all right-handed lattice strips have an identical stiffness and mechanical pre-curvature. So do the left-handed strips, but right- and left-handed strips could differ from each other. Henceforth, right- and left-handed strips are denoted by subscripts and , respectively.

Making the same kinematic assumptions as Pirrera et al. (2013), we now turn to the energy-based formulation of lattice behaviour including thermal effects. These assumptions are:

  • all helices remain on a single cylinder (whose radius and height can change);

  • the non-thermal change in length of the helical strips is small and can be neglected;

  • the helices are hinged where they intersect allowing only scissoring motion.

(a) A cylindrical lattice.
(b) Planar projection of lattice.
(c) Rhomboidal unit cell.
Figure 1: Sketch of a helical lattice comprised of strips of each handednes on the surface of a constraining cylinder of radius , and its planar representation.

2.2 Total Potential Energy

As in Pirrera et al. (2013), we represent generic anisotropic material properties recurring to Classical Laminate Theory (CLT) for its convenient notation. CLT also provides a robust framework to capture the thermoelastic response of the structure under consideration.

Let us consider a generic laminate, with the coordinate system chosen such that is the thickness direction. As is conventional, cf. e.g. Mansfield (2005), we assume that layers of a laminated composite are perfectly bonded to each other, and that the stiffness properties may be condensed to the mid-plane. It follows that, for the layer, which is assumed to be orthotropic, the stress-strain relation expressed in the laminate coordinates is

(1)

where, as usual, and the temperature change, , is , being the current temperature and a reference temperature corresponding to the stress-free state. For the layer, is the vector coefficient of thermal expansion and is the transformed stiffness matrix.

Integrating (1) through the thickness, we obtain resultant forces and moments per unit width, and , which are related to strains, , curvatures, , and , through

(2)

where , and are stiffness matrices, and and are thermal stress resultants.

The strain energy of the layer, per unit surface area, i.e. before integration through the strips’ width and length, is

(3)

where and are the positions of the interfaces between layers. Integrating (3) through thickness, we obtain the total strain energy per unit surface area to be

(4)

where

Theorem 8

As in Pirrera et al. (2013), we wish to write the energy in terms of , and . To do this we use the partially-inverted form of (2), which is

(5)

with

(6a)
(6b)
(6c)

Substituting (5) in (4), we obtain

Assuming, as in Pirrera et al. (2013), zero in-plane stress resultants, i.e. , the strain energy simplifies to

Further, it is convenient to set

(7a)
(7b)

which leads to

(8)

We now present the energy formulation in terms of the lattice’s representative unit cell.

2.3 Energy of a unit cell

With reference to Figure 1, the strain energy of the representative unit cell, , follows from (8), whence,

(9)

where is the side length of the unit cell and the strips’ widths.

Following Pirrera et al. (2013), we consider only axial and twist components of curvature. These can be written to account for a reference mechanical stress-free curvature, e.g. a manufacturing tooling curvature, as

(10)

where, again from Pirrera et al. (2013),

(11)

and where is the radius of the constraining cylinder and the helical angle as illustrated in Figure 1.

The bending stiffness, accounting only for axial and twist components of curvature, reduces to

and reduces to

We now proceed to express the unit cell energy in terms of non-dimensional parameters.

3 Normalised energy landscape

We now begin our analysis of the helical lattice, which we will henceforth view as an one-dimensional object whose state is specified by its non-dimensional length and non-dimensional temperature,

(12a)
(12b)

respectively. We remark that might depend on temperature through the in-plane thermal expansion effects captured by , however such temperature-induced changes are subsumed into (see also Section 4.4 below) .

3.1 The energy density

From (9) and (12), the non-dimensionalised energy density, i.e. energy per unit cell, is given by

(13)
(14)

with

(15a)
(15b)
(15c)
(15d)
(15e)
(15f)
(15g)
(15h)
(15i)

and

(16a)
(16b)
(16c)
(16d)

For the stiffness matrix in (16d) to be positive definite, we need and .

3.2 Equilibria of the energy density

To identify system equilibria we compute the derivative of the energy density with respect to extension. From (14),

(17)

Inner equilibria

The location and stability of inner equilibria, i.e. equilibria for , may be obtained by setting in (17). Temperature-invariant equilibria are obtained when . Otherwise, the equilibria generically form a quartic curve in (generically cubic if ). We denote stable equilibria at temperature (if any) by .

Boundary equilibria

The stability of the fully-coiled state, , is governed by

(18a)
and that of the fully-extended state, , by
(18b)

As above, temperature-invariant equilibria are obtained when . On the other hand, when and , from the linear dependence on in (18a) and (18b), we conclude that the stability of each boundary changes (i.e. from stable to unstable or vice-versa) precisely once if the temperature is varied monotonically. This occurs at the temperatures

(19a)
(19b)

for and , respectively. Whether the change is from stable to unstable or vice-versa depends on sign of and (and, of course, the direction of the temperature change). Note also that (18a) vanishes at , but the stability of at depends on the sign of (cf., (18b) and (19b)).

In summary, changes in stability of the boundary solutions occur precisely at critical temperatures and , for and , respectively. From this observation we can infer that, during a temperature sweep, once a critical temperature is passed, the stability of the boundary does not change further. Boundary solutions will remain stable (or unstable) until the direction of the temperature sweep is reversed and the critical temperatures are passed again. This behaviour is beneficial from a thermal actuation standpoint, because it ensures that the system remains in one state once actuation has occurred.

3.3 Extensional stiffness

The effective stiffness of the system is the second derivative of the energy with respect to the extension. From (17),

(20)

We remark that it is possible, using (17) and (20), to tune the lattice to possess a zero stiffness state at a specified temperature. This feature can be useful for actuation by means of input parameters other than temperature, as it minimises the energy required for shape changes induced, for example, by mechanical or piezoelectric stimuli.

At the boundaries, we obtain

and

Similar to the equilibria above, we see that there is no temperature dependence if . Otherwise, the sign of the stiffness at changes at temperature given by

(21)

However, the sign of the stiffness at changes at defined in  (19b). Thus, unstable equilibria are possible at , but not at unless, and .

3.4 Coefficient of Thermal Expansion

The non-dimensional coefficient of thermal expansion (CTE) for the system may be defined as

(22)

where is a solution of (17). An explicit expression for the CTE can be obtained from (17) but, for brevity, we prefer to present numerical examples in Section 4 below.

In order to avoid apparently infinite thermal expansions when approaches zero,  (22) omits the reciprocal of initial length and, instead, a nominal value of one is used corresponding to the total non-dimensional length of the lattice strip. (However, when discussing experimental results the usual definition of CTE is applied.) Equation (22) is non-zero only when either or . Moreover the CTE can be zero at and due to the stability conditions of the boundary (cf. last paragraph of Section 3.2).

We remark that the CTE referred to here neglects changes in length of the structure due to the effect of temperature on , whose effect is characterised by defined in (LABEL:eq:tau). (See also Section 4.4 below.)

4 Thermoelastic Behaviour

The thermoelastic response of the lattice may be tailored to fall into two categories, snapping actuation and smooth actuation. In the first instance, the lattice undergoes a large extension/contraction upon heating/cooling to critical temperatures. Such sudden transitions occur when an equilibrium looses stability, forcing the system to reconfigure by snapping across the energy landscape onto a new stable configuration. Alternatively, extension and contraction can be smooth transitions. In these instances, stable equilibria change position gradually, maintaining their stability as the temperature varies.

Either kind of response may be desirable. Snapping actuation, for example, can replicate the typical behaviour of SMAs. However, as we shall see below, the lattice’s critical temperatures, direction of actuation, effective stiffness and presence of hysteresis between cooling and heating actuation points, can all be simultaneously tuned far beyond that currently possible for SMAs.

Next, we present several examples of both kinds of responses.

4.1 Snap-actuation with hysteresis

As our first example, we illustrate snap actuation from fully-coiled to fully-extended configurations. The transition is realised upon heating to a critical temperature, , whilst snap-back to the coiled state happens upon cooling to a critical temperature, , which should not be higher than ; recalling that and are defined in (19). Such an actuator mimics an SMA’s behaviour.

For this behaviour we require:

  • The fully-coiled configuration, , to be stable if and only if , and the fully-extended configuration, , to be stable if and only if . From (18) and (19), this implies,

    (23a)
    (23b)

    respectively.

  • The temperature above which the fully-coiled configuration loses stability, , to be greater than the temperature above which the fully-extended state gains stability, :

    (24)
  • In addition, for the equilibrium to shift from to as the temperature is increased to , we require

    which, from (17) and (19a), can be cast as

    (25a)

In summary, equations (23), (24) and (25) are the conditions under which the system exhibits hysteretic snap actuation.

If, as a special case which simplifies (25) by removing the dependancy on , we assume that

(26a)
(26b)

then (25) is equivalent to

(27a)
(27b)

In other words, when (26) holds, equations (23), (24) and (25) can be replaced by equations (23), (24) and (27). However, using (19), it is easy to verify that (23) and (24) imply (27). Thus, equations (23), (24) and (25) can be replaced by equations (23), (24) and (26).

Numerical example

We now present a numerical example of actuation with hysteresis which satisfies (26). With no loss of generality, we choose the simplest parameters that lead to (26), namely,

(28a)
(28b)
In addition it is convenient to set
(28c)

Hence, from (15) and (19),

To satisfy (23), (24) and restricting and to be negative, we need,

(29a)
(29b)
(29c)
(29d)
(29e)

Note, as a consequence of (29), that the lattice cannot possess chiral symmetry.

For this and subsequent numerical examples, we choose design parameters as listed in Table 1; the table also lists the tuned values of and . We also choose

(30a)
These values are illustrative, rather than restrictive, and are selected to demonstrate system responses that appear robustly in parameter space while facilitating analysis by simplifying (15). In addition, the choice of parameters ensures realistic material properties and feasible structural designs.
Inspecting the energy density (14), we observe from (15c) that is the only term associated with in-plane thermal expansion parameters, . The corresponding term is uncoupled from . As a consequence, it does not affect the position of equilibria, i.e.  is not present in equation (17). As a consequence it also does not affect the qualitative response of the system or the effective coefficient of thermal expansion, see (22) below. The value of can therefore be specified arbitrarily and, for convenience, we pick
(30b)
All curvature parameters scaled by
Sec. Fig.
4.1 2
4.2 3
4.2 4
4.3 5
4.3 6
4.3 7
Table 1: System parameters for the examples presented.

Returning to the example in this section, it is easy to verify that the selected parameters satisfy (29). The resulting snap-actuation response is shown in Figure 2. Figure 1(b) demonstrates that, for increasing temperature, is stable until . On the other hand, upon cooling, looses stability at . Consequently the structure demonstrates hysteresis, being bi-stable in the range and monostable elsewhere.

(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of equilibrium during heating and cooling.
Figure 2: Actuation from fully coiled to fully expanded at and recoil at .

4.2 Snap-actuation with no hysteresis

The removal of thermal hysteresis for SMAs requires subtle fine-tuning of the atomic lattice (Cui et al., 2006; Zhang et al., 2009; Song et al., 2013). In contrast, the system presented herein can be readily tuned to remove hysteresis by setting . Such a lattice would require

Figure 3 presents an example of such behaviour with the parameters given as before and in Table 1.

Alternatively, the direction of actuation may be reversed by choosing and , as explained in Section 3.2. We can therefore devise a system with no hysteresis that snaps from fully-extended to fully-coiled. This is illustrated in Figure 4.

To conclude this example, we note that a lattice with no hysteresis has zero stiffness at the transition temperature, as illustrated by the flat energy landscape in Figures 2(a) and 3(a).

(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of equilibrium during heating and cooling. The paths coincide.
Figure 3: Expansion actuation without hysteresis at .
(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of stable equilibrium during heating and cooling. The paths coincide.
Figure 4: Contraction actuation without hysterisis at .

4.3 Smooth actuation

To achieve snap-actuation at a critical temperature, the preceding examples exploit appearance or disappearance of equilibria at the extensional boundaries, i.e. at . Alternatively, smooth actuation is obtained by exploiting stable inner equilibria, i.e. at . This behaviour is illustrated in Figures 5 and 6. (Existence of inner equilibria can be guaranteed by imposing suitable signs on the derivative of the energy on the boundary; see Pirrera et al. (2013) for details.)

In Figure 5, the lattice expands smoothly under heating whereas in Figure 6 it contracts smoothly under heating, i.e. has a negative coefficient of thermal expansion. Note that the CTEs demonstrated here, both positive and negative, are orders of magnitude larger in comparison to those of materials reported to have exceptionally large values (Das et al., 2010; Miller et al., 2009; Fortes et al., 2011; Takenaka, 2012; Takenaka et al., 2017); see Figure 8.

(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of stable equilibrium during heating and cooling.
Figure 5: Smooth actuation from fully-coiled to fully-extended between critical temperatures and .
(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of stable equilibrium during heating and cooling.
Figure 6: Smooth actuation from fully-coiled to fully-extended between critical temperatures and illustrating negative coefficient of thermal expansion.

4.4 Thermal invariance

As noted in Section 3.2, zero CTE at all temperatures is guaranteed by . More generally, the mechanics of the lattice is such that thermal invariance can be obtained within some ranges of temperatures. When the lattice is locked at or , it is effectively thermally invariant until a critical temperature, either or , is reached; see Figures 2 and 3.

Because CTE, as defined in (22), does not account for in-plane thermal expansion of the lattice’s strips, the length of the structure could change with temperature even for zero CTE. However, the possibility remains that the structure could be designed such that its CTE cancels the change in length due to the constituent materials’ thermal expansion. Such a structure would be completely thermally invariant.

On the other hand, when the magnitude of CTE is large, as in Section 4.3, the change in length due to in plane expansion would typically be dwarfed by the large CTE.

4.5 Dirac delta CTE

Further, we can devise a system which is mono-stable (with an interior equilibrium) but develops bi-stability at a critical temperature. To this end, consider the choice of parameters

for some . Then, from (17),

(31)

which is identically zero when ; otherwise the unique equilibrium is at . The stability of this equilibrium can be determined from (20):

(32)

from which it is clear that is stable when . At the energy becomes flat. If the temperature is increased further, the equilibrium at becomes unstable and stable equilibria appear at the boundaries, i.e.  and . These boundary equilibria remain stable as the temperature is increased further.

As a consequence, the CTE is zero except at the critical temperature of , see Figures 7 and 8 where . At this critical temperature, the system’s length instantaneously changes from to either or . Thus the CTE is a Dirac delta with a multiplicative pre-factor of either or . Changing allows the position to be tuned along with the multiplicative pre-factor.

Moreover, the flat energy landscape, with the consequent zero-stiffness, at critical temperature results in minimal actuation energy to move from one extension to another. This feature is desirable (quite apart from considerations of thermal expansion) in morphing applications since the system could be actuated in its zero-stiffness state, requiring minimal energy input, and then allowed to return to its normal state, with associated increase in stiffness.

(a) Energy profiles for varying with stable equilibria at various temperatures.
(b) Location of stable position during heating and cooling.
Figure 7: Thermal invariance during heating of internal equilibrium position up to critical temperature .
(a) Variation in the effective CTE.
(b) Variation in effective initial modulus for varying normalised by maximum observed value.
Figure 8: Effective CTE and stiffness of the lattice system for the three smooth-expansion cases shown in Figures 5, 6, and 7. Here the effective CTE is positive, negative and zero, respectively.

5 Proof-of-Concept Demonstrator

In order to illustrate the feasibility of the proposed concept, we present a thermoelastic lattice demonstrator tuned to exhibit a large negative CTE, Figure 8(a). The design specifications are selected for ease of manufacture rather than performance optimisation. The lattice is cured on a cylindrical tool and is constructed as described in Table 2. The strips are manufactured as tapes of carbon fibre reinforced plastic (IM7-8552), with the material properties obtained from literature (Ratcliffe et al., 2012) and in-house measurements. The thermal behaviour of the lattice was obtained by tracking its expansion from a heated state as it cooled whilst suspended horizontally in an oven; see Figure 8(b).

The width of the lattice’s strips is  mm, which is larger than would be desirable in light of the one-dimensional strip behaviour assumed by the analytical model presented herein, but minimum sizes were dictated by current manufacturing capability. For this reason, we also include results obtained using an abaqus finite element (FE) analysis model (quasi-static, geometrically nonlinear analysis with S4R shell elements). Figure 8(c) shows clear correlation between the FE, analytical and experimental results. As expected, the correlation between the analytical prediction and the FE model improves as the width of the strip is reduced from  mm (labelled ‘wide’ in Figure 9) to  mm, (labelled ‘narrow’).

In real terms, the total lattice length contracts from  mm to  mm during a temperature increase from  K to  K. This response gives a representative CTE over the range of motion of . We remark that the effective CTE is over 100 times larger than often stated as a large negative CTE (Takenaka, 2012). Our result exceeds even typically extreme values reported in the literature (Das et al., 2010; Fortes et al., 2011).

We note that this demonstrator does not represent the upper limit of what can be achieved using the thermoelastic lattice. Referring to the coefficients presented in table 1, and figure 6, we are free to tune the transition temperatures and , and therefore in principle achieve any average CTE for the temperature interval . Thus these experimental results demonstrate the potential of architectured thermoelastic materials to deliver extreme performance requirements inaccessible through traditional design approaches.

161 GPa 11.38 GPa
5.17 GPa 0.32
-0.1 31.0
4 10 mm
Layup [-15,-70,-35,90] Layup [+15,+70,+35,90]
Ply Thickness 0.1177 mm Tool Radius 76 mm
Tool Angle 15° Cell Length 62 mm
Table 2: Properties of the thermoelastic lattice demonstrator
(a) Lattice at room temperature.
(b) Lattice in oven during experiment.
(c) Location of stable position during heating and cooling.
Figure 9: Thermoelastic lattice demonstrator showing large contraction during heating.

6 Conclusions

Based on the model presented in Sections 2 and 3, the analysis of Section 4 demonstrates how a structure, in this case a helical lattice, can be designed to mimic a one-dimensional thermoelastic material.

Section 4.1 illustrates how the design parameters can be tuned to achieve effective behaviour which mimics that of phase-transforming materials such as SMAs. Indeed, we can more than mimic such materials; we can improve on their performance. For example, we can easily tune parameters like the transition temperatures, which are typically much more difficult to design at the crystalline micro-structure scale through a materials science approach. Further, as Section 4.2 shows, it is no less easy to reduce and even eliminate hysteresis. In contrast, eliminating hysteresis in materials such as SMAs requires considerable expertise, cf. e.g. Cui et al. (2006). With the proposed system, even the direction of actuation can be reversed, as noted in Section 4.3.

Turning to thermoelasticity more broadly, we can design for negative CTE and for magnitudes of CTE, both positive and negative, beyond what has been observed in nature; this is exemplified in Section 4.3. In Section 4.4, we designed a system whose CTE is zero, as well as one whose CTE is a Dirac delta in Section 4.5. In Section 5, we illustrated the feasibility of constructing a thermoelastic lattice with a large negative CTE, experimentally demonstrating the potential of the proposed concept. By doing so, we highlighted the potential to obtain extreme response characteristics that are several orders of magnitude larger than typical existing materials.

The examples presented are only a brief foray into the capacity to tune the coefficient of thermal expansion and extensional stiffness simultaneously. In particular, as Section 4.4 demonstrates, the stiffness of a temperature-invariant equilibrium can itself be temperature-dependent. This holds out the promise of overcoming the difficulties incurred using traditional approaches to obtaining a system with desirable CTE and stiffness (Jefferson et al., 2009).

In conclusion, we have outlined a structural route to attain and exceed capabilities which are normally associated with multi-phase materials such as SMAs or exotic structural materials with negative CTEs. In the language of Bhattacharya and James (2005), we have a machine which acts as a material.

In this paper, we have exploited only a small portion of the design landscape that is opened up by the coupling between pre-stress, stiffness, thermal expansion and geometric nonlinearity. In particular, in future work, we aim to explore lattice systems that mimic multi-phase thin-films and three-dimensional solids.

Finally, we note that, although the present approach focuses specifically on thermal actuation, any curvature-inducing field could be utilised instead; for example, electric fields in conjunction with piezoelectric materials.

Acknowledgements

This research was supported by the Engineering and Physical Sciences Research Council (EPSRC) through the University of Bristol’s Centre for Doctoral Training in Advanced Composites for Innovation and Science [Grant No. EP/L016028/1] and Alberto  Pirrera is funded on an EPSRC Early Career Research Fellowship [Grant No. EP/M013170/1].

Data Access Statement

The data necessary to support the conclusions are included in the paper.

References

References

  • G. D. Barrera, J. A. O. Bruno, T. H. K. Barron and N. L. Allan (2005) Negative thermal expansion. Journal of Physics: Condensed Matter 17 (4), pp. R217. Cited by: §1.
  • K. Bertoldi (2017) Harnessing instabilities to design tunable architected cellular materials. Annual Review of Materials Research 47 (1), pp. 51–61. External Links: Document, https://doi.org/10.1146/annurev-matsci-070616-123908 Cited by: §1.
  • K. Bhattacharya and R. D. James (2005) The material is the machine. Science 307 (5706), pp. 53–54. External Links: ISSN 0036-8075 Cited by: The machine is the material: Structures that mimic one-dimensional thermoelastic materials, §1, §6.
  • E. Boatti, N. Vasios and K. Bertoldi (2017) Origami metamaterials for tunable thermal expansion. Advanced Materials 29 (26), pp. 1700360. Cited by: §1.
  • Z. Chen, Q. Guo, C. Majidi, W. Chen, D. J. Srolovitz and M. P. Haataja (2012) Nonlinear geometric effects in mechanical bistable morphing structures. Physical Review Letters 109 (11), pp. 114302. Cited by: §1.
  • J. Cui, Y. S. Chu, O. O. Famodu, Y. Furuya, Jae. Hattrick-Simpers, R. D. James, A. Ludwig, S. Thienhaus, M. Wuttig, Z. Zhang and I. Takeuchi (2006) Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width. Nature Materials 5, pp. 286–290. Cited by: §4.2, §6.
  • D. Das, T. Jacobs and L. J. Barbour (2010) Exceptionally large positive and negative anisotropic thermal expansion of an organic crystalline material. Nature Materials 9, pp. 36–39. Cited by: §4.3, §5.
  • F. Dewalque, C. Schwartz, V. Denoël, J. Croisier, B. Forthomme and O. Brüls (2018) Experimental and numerical investigation of the nonlinear dynamics of compliant mechanisms for deployable structures. Mechanical Systems and Signal Processing 101 (Supplement C), pp. 1–25. External Links: ISSN 0888-3270 Cited by: §1.
  • A. D. Fortes, E. Suard and K. S. Knight (2011) Negative linear compressibility and massive anisotropic thermal expansion in methanol monohydrate. Science 331 (6018), pp. 742–746. Cited by: §4.3, §5.
  • F. Fraternali, G. Carpentieri and A. Amendola (2015) On the mechanical modeling of the extreme softening/stiffening response of axially loaded tensegrity prisms. Journal of the Mechanics and Physics of Solids 74 (Supplement C), pp. 136–157. External Links: ISSN 0022-5096 Cited by: §1.
  • M.I. Frecker (2003) Recent advances in optimization of smart structures and actuators. Journal of Intelligent Material Systems and Structures 14 (4-5), pp. 207–216. Cited by: §1.
  • R.M.J. Groh, D. Avitabile and A. Pirrera (2018) Generalised path-following for well-behaved nonlinear structures. Computer Methods in Applied Mechanics and Engineering 331, pp. 394–426. External Links: Document, ISSN 0045-7825 Cited by: §1.
  • D. J. Hartl and D. C. Lagoudas (2007) Aerospace applications of shape memory alloys. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 221 (4), pp. 535–552. Cited by: §1.
  • G. Jefferson, T. A. Parthasarathy and R. J. Kerans (2009) Tailorable thermal expansion hybrid structures. International Journal of Solids and Structures 46 (11), pp. 2372–2387. Cited by: §1, §6.
  • E. H. Mansfield (2005) The bending and stretching of plates. 2 edition, Cambridge University Press, Cambridge, UK. Cited by: §2.2.
  • W. Miller, C. Smith, D. S. Mackenzie and K. E. Evans (2009) Negative thermal expansion: a review. Journal of Materials Science 44, pp. 5441–5451. Cited by: §1, §4.3.
  • M. P. O’Donnell, P. M. Weaver and A. Pirrera (2016) Can tailored non-linearity of hierarchical structures inform future material development?. Extreme Mechanics Letters 7, pp. 1–9. Cited by: §1, §2.1.
  • H. Palneedi, V. Annapureddy, S. Priya and J. Ryu (2016) Status and perspectives of multiferroic magnetoelectric composite materials and applications. Actuators 5 (1), pp. 9. External Links: ISSN 2076-0825 Cited by: §1.
  • A. Pirrera, D. Avitabile and P. M. Weaver (2010) Bistable plates for morphing structures: a refined analytical approach with high-order polynomials. International Journal of Solids and Structures 47 (25-26), pp. 3412–3425. External Links: ISSN 0020-7683 Cited by: §1.
  • A. Pirrera, X. Lachenal, S. Daynes, Paul. M. Weaver and Isaac. V. Chenchiah (2013) Multi-stable cylindrical lattices. Journal of Mechanics Physics of Solids 61, pp. 2087–2107. Cited by: §1, §2.1, §2.1, §2.2, §2.2, §2.3, §2, §4.3.
  • J. G. Ratcliffe, M. W. Czabaj and T. K. O’Brien (2012) Characterizing Delamination Migration in Carbon/Epoxy Tape Laminates. In 27th American Society for Composites Technical Conference, Arlington, TX. External Links: ISBN 9781622764389 Cited by: §5.
  • O. Sigmund and S. Torquato (1996) Composites with extremal thermal expansion coefficients. Applied Physics Letters 69 (21), pp. 3203–3205. Cited by: §1.
  • O. Sigmund (2001) Design of multiphysics actuators using topology optimization – part ii: two-material structures. Computer Methods in Applied Mechanics and Engineering 190 (49), pp. 6605–6627. Cited by: §1.
  • Y. Song, X. Chen, V. Dabade, T. W. Shield and R. D. James (2013) Enhanced reversibility and unusual microstructure of a phase-transforming material. Nature 502 (15), pp. 85–88. Cited by: §4.2.
  • K. Takenaka, Y. Okamoto, T. Shinoda, N. Katayama and Y. Sakai (2017) Colossal negative thermal expansion in reduced layered ruthenate. Nature Communications 8, pp. 14102. Cited by: §4.3.
  • K. Takenaka (2012) Negative thermal expansion materials: technological key for control of thermal expansion. Science and Technology of Advanced Materials 13 (1), pp. 013001. Cited by: §4.3, §5.
  • P. Tao, W. Shang, C. Song, Q. Shen, F. Zhang, Z. Luo, N. Yi, D. Zhang and T. Deng (2015) Bioinspired engineering of thermal materials. Advanced Materials 27 (3), pp. 428–463. Cited by: §1.
  • S. A. Tawfik, D. S. Dancila and E. Armanios (2011) Unsymmetric composite laminates morphing via piezoelectric actuators. Composites Part A: Applied Science and Manufacturing 42 (7), pp. 748–756. Cited by: §1.
  • P. Wang, J. Shim and K. Bertoldi (2013) Effects of geometric and material nonlinearities on tunable band gaps and low-frequency directionality of phononic crystals. Physical Review B 88 (1), pp. 014304. Cited by: §1.
  • L. Xia and P. Breitkopf (2017) Recent advances on topology optimization of multiscale nonlinear structures. Archives of Computational Methods in Engineering 24 (2), pp. 227–249. Cited by: §1.
  • Z. Zhang, R. D. James and S. Müller (2009) Energy barriers and hysteresis in martensitic phase transformations. Acta Materialia 57 (15), pp. 4332–4352. External Links: ISSN 1359-6454 Cited by: The machine is the material: Structures that mimic one-dimensional thermoelastic materials, §4.2.
Comments 0
Request Comment
You are adding the first comment!
How to quickly get a good reply:
  • Give credit where it’s due by listing out the positive aspects of a paper before getting into which changes should be made.
  • Be specific in your critique, and provide supporting evidence with appropriate references to substantiate general statements.
  • Your comment should inspire ideas to flow and help the author improves the paper.

The better we are at sharing our knowledge with each other, the faster we move forward.
""
The feedback must be of minimum 40 characters and the title a minimum of 5 characters
   
Add comment
Cancel
Loading ...
345668
This is a comment super asjknd jkasnjk adsnkj
Upvote
Downvote
""
The feedback must be of minumum 40 characters
The feedback must be of minumum 40 characters
Submit
Cancel

You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description