Elsevier

Polymer

Volume 48, Issue 5, 23 February 2007, Pages 1388-1396
Polymer

Novel triol-crosslinked polyurethanes and their thermorheological characterization as shape-memory materials

https://doi.org/10.1016/j.polymer.2006.12.051Get rights and content

Abstract

A new family of crosslinked polyurethanes was synthesized and characterized as shape-memory polymers. Three-arm network junctions are provided by 1,1,1-trimethylol propane with an isocyanate group on each arm. Three diisocyanates are used: 4,4′-methylene bis(phenyl isocyanate), toluene diisocyanate, and 4,4′-dibenzyl diisocyanate. They are linked together by macrodiol soft segments formed from either polytetrahydrofuran with molar mass of 650, 1000 or 2000 g mol−1 or polycaprolactone glycol with molar mass of 830 or 1250 g mol−1. Thermorheological response of each polymer was characterized by tensile creep tests through the glass transition of the soft segments, to obtain the linear viscoelastic retardation spectrum, limiting compliances and time–temperature shift factor. These were used to predict significant features of shape-memory performance. With a decrease in soft segment chain length, the temperature of maximum shape recovery rate increased and the width of the recovery window decreased, consistent with loss of soft segment chain mobility remote from the crosslinks. Tensile modulus in the switched condition (above Tg) was 8–16 MPa, increasing with crosslink density and hard-segment rigidity. The results confirmed the potential of these polyurethanes as a new family of tunable shape-memory materials.

Introduction

Polymers have great potential as shape-memory materials. The source of “memory” is their capacity to store preferred molecular orientation on large molecular length scales. The mechanism by which the shape memory is locked-in is usually cooling through the glass transition Tg (and consequent lengthening of mechanical relaxation times) or formation of a hard phase such as crystal domains. Shape recovery is triggered by subsequent heating, causing passage through Tg (and hence shortening of relaxation times) or softening of the hard phase. Lendlein and Kelch [1] provide a comprehensive review of the possibilities and of many of the shape-memory polymers proposed so far. It is clear that shape-memory behaviour is intrinsic to any polymer where molecular orientation arising from a prior stretch can be retained sufficiently at the orientation temperature. This will be the case where there exist chemical crosslinks, physical crosslinks provided by an entanglement network (with sufficiently long reptation time τd) or by a dispersed phase that is rigid to sufficiently high temperatures.

In practical applications of polymers as shape-memory materials, that is where they are acting as “shape-memory polymers” (SMP), a small set of parameters determine the usefulness, or otherwise, of a given polymer system for a given application. (1) The fractional recoverable strain: the maximum fraction of the imposed strain that can be recovered when triggered. (2) The temperature of maximum recovery rate Tmax for a given rate of heating: a measure of the temperature required to trigger recovery of shape. (3) The width ΔT of the window of temperature within which shape recovery occurs. (4) The tensile modulus ER at the temperature of full recovery: this determines the maximum shape-recovery restoring force if shape recovery is resisted. Since different applications make different demands on SMPs, it is particularly desirable to find polymer systems where parameters Tmax, ΔT, and ER are variable, so the same basic system can be tuned to suit different applications. Preferably, these will be systems where all the imposed strain is recoverable, that is the fractional recoverable strain is 100%.

Previous authors have highlighted the merits of polyurethane polymers as potential SMPs [1]. This arises largely from the chemical versatility of segmented polyurethane copolymer systems. Thus by suitable choice of diisocyanate and macrodiol phase-segregated materials may be produced, for example where one component comprises hard segments that provide physical crosslinking, to enable the retention of shape memory, while the other component provides a softer phase with a lower softening temperature, either glass transition or melting temperature, to enable the locking-in and release of shape memory at convenient temperatures. The softening temperature, which acts as the shape-memory trigger temperature (to be precise, Tmax), may be changed systematically by variation of the hard-segment content [2], [3], [4], [5] or the chain length of the macrodiol employed [6], [7]. A feature of practical importance for biomedical applications of SMPs is the fact that these systems may be designed with trigger temperatures in the convenient range 20–50 °C [2], [5], [6], [7], [8].

The width of the trigger window ΔT is also important in applications of SMPs, but it has received little attention in previous published work. Nevertheless, published shape-recovery measurements, for example as reported by Lin and Chen [7] for polyurethanes, suggest values in the range 28–46 K, when Tmax exceeds room temperature.

The third parameter, ER, poses the greatest challenge for SMPs relative to shape-memory metal alloys, which are orders of magnitude stiffer. Shape recovery in polymers is usually driven by entropy-elastic recoil of molecular chains, but this is associated with extremely low elastic moduli, for example Young's moduli in the range 1–10 MPa. Thus there has been interest in reinforcing SMPs with hard particles such as chopped glass fibres [9], sub-micron SiC particles [10], [11] or molecular-level mixing with silica [12]. However, the price for a small increase in ER (e.g. to 10 MPa) may be a significant deterioration in the recoverability of shape, as observed by Ohki et al. [9]. Even 20% by weight of sub-micron SiC in a crosslinked epoxy gave only a 50% increase in shape restoring force [10].

The purpose of the present paper is to present a new family of potential polyurethane SMPs, addressing the issues discussed above. They are all produced by the prepolymer route using diisocyanate (DII) hard segments and macrodiol (MD) soft segments. Thus they have the usual versatility with respect to varying hard-segment content and macrodiol chain length, allowing the systematic variation of Tmax and ER (without using reinforcing particles). However, they are also single phase, chemically crosslinked polymers, and hence have the advantage of 100% recoverability of shape. This is achieved by employing a triol as chain extender, giving a network structure with tri-functional crosslinks. These polymers are characterized with respect to their thermorheological response in tension, in the linear viscoelastic regime. Then their performance in a shape-memory sequence is computed rigorously from the theory of temperature-dependent linear viscoelasticity, allowing comparisons to be made between them.

Section snippets

Materials

Each member of the new family of SMPs was synthesized in our Iasi laboratory. The crosslinker triol used in all cases was 1,1,1-trimethylol propane (TMP). This was reacted with macrodiol and isocyanate in stoichiometric proportions to form a network polymer, with molar ratios TMP:MD:DII = 2:1:4. The MD was either polytetrahydrofuran (PTHF) or poly(caprolactone) diol (PCD), both with various chain lengths. The DII was chosen from the following three: the conventional diisocyanate with rigid

General relations

Several authors have proposed dedicated, empirical, constitutive models for capturing shape-memory response in polymers [13], [14], [15]. In the context of small strain linear viscoelasticity this is unnecessary. The shape-memory effect is calculable rigorously from standard theory. Here, however, we re-cast the standard theory slightly, for convenience in describing shape-memory behaviour. For the present purpose an one-dimensional description is sufficient.

Consider the case of a linear

Shape-recovery temperature

Fig. 7, Fig. 8 summarise the calculated values of Tmax and ΔT, respectively. They show two dominant features. Firstly, for given chemical composition, Tmax increases while ΔT decreases as the density of crosslinks increases, as expressed by nc. Secondly, there are significant differences between polymers with different DII components. It is notable that the TDI-based polymers have lower Tmax and higher ΔT than polymers based on MDI or DBDI.

The effect of varying crosslink density may be

Conclusions

The new triol-crosslinked polyurethanes appear to have great potential as shape-memory polymers. Complete recovery is ensured by chemical crosslinking through a triol, while adjustment of the shape-memory trigger temperature is achieved by variation of the chemical composition of the hard and soft segments, and the chain length of the soft segments. Three hard segments were examined (MDI, TDI and DBDI), together with two soft segments (PTHF and PCD) with molar masses from 650 to 2000. By

Acknowledgements

The authors are grateful for financial support from the Royal Society of London in the form of a Joint Project Grant, and from NATO in the form of a Collaborative Linkage Grant. They also acknowledge valuable technical assistance provided by Mr Victor Prisacariu.

References (19)

There are more references available in the full text version of this article.

Cited by (114)

  • Recent Advances and Applications of Thermoset Resins

    2022, Recent Advances and Applications of Thermoset Resins
  • Tracing evolutions of elastomeric composites in shape memory actuators: A comprehensive review

    2021, Materials Today Communications
    Citation Excerpt :

    Thermosetting SMPU, as a prominent subgroup of CCSMPs, aroused the interests of academia. As an example, Buckley et al. [115] reported the increase of recovery temperature as well as the enhancement of creep in thermosetting polyurethane owing to the presence of chemical crosslinks. Two primary objectives are defined in the employment of SMP blends; (I) to improve the mechanical and shape memory properties of the existing SMP materials and (II) to fabricate novel SMP materials in which one constituent organizes the hard domains while the other one forms the switching domains.

  • Refinement of a 3D finite strain viscoelastic constitutive model for thermally induced shape memory polymers

    2021, Polymer Testing
    Citation Excerpt :

    Nuguyen et al. [29] developed a 3D finite strain constitutive model by incorporating structural and stress relaxation to describe the time-dependent thermoviscoelastic behavior of amorphous SMPs. To further improve the accuracy on predicting the time-dependent SME, more sophisticated models containing multi-branch relaxations were developed to describe the stress and structural relaxation times in nonequilibrium time-dependent part [30–36]. Lion et al. [37] defined internal variables to characterize the material thermomechanical behavior in the vicinity of the glass transition, and each internal variable has its own relaxation time, which makes the constitutive model more definite on physics based description.

  • Chain Mobility and Progress in Medicine, Pharmaceuticals, and Polymer Science and Technology

    2020, Chain Mobility and Progress in Medicine, Pharmaceuticals, and Polymer Science and Technology
  • Biocompatible thermo- and magneto-responsive shape-memory polyurethane bionanocomposites

    2019, Materials Science and Engineering C
    Citation Excerpt :

    Since all prepared materials were stretched above their yield point, Rr values are in the first cycle lower than 100%. The previous analysis of the thermally activated shape-memory properties of the neat PU matrix revealed that the original shape was restored through crystalline structures [10], as the residual stress introduced in the sample during the stretching could be stored in though physical crystalline segregated domains, which acts as the driving force for shape recovery [50–52]. Regarding the shape recovery of the bionanocomposites, it can be observed that similar Rr values were obtained despite the slightly lower overall crystallinity of the bionanocomposites.

View all citing articles on Scopus
View full text