2014
DOI: 10.1016/j.ijsolstr.2014.03.029
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A finite deformation thermomechanical constitutive model for triple shape polymeric composites based on dual thermal transitions

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Cited by 51 publications
(39 citation statements)
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“…In addition, if one takes "phase" as a more general representation of a small collection of material fraction that has distinct deformation history, one would find that many active materials can achieve shape memory effects or its active motion through the phase evolution mechanism, such as light activated polymers developed by Lendlein et al [53] and Scott and coworkers [220,293], covalent adaptable network polymers with bond exchange reaction [294,295], DielsAlder network [296,297], ionic gels [298]. Several constitutive models were developed in the recent years to model these material systems, such as light activate polymers [299][300][301], shape memory elastomeric composites [302] and its triple shape memory behavior [303,304], polymers with temperature-dependent bond exchange reactions [305], and Diels-Alder networks [306]. The concept of employing phase formation to achieve shape memory effect can be easily illustrated by Fig.…”
Section: Phase Evolution Modelsmentioning
confidence: 99%
“…In addition, if one takes "phase" as a more general representation of a small collection of material fraction that has distinct deformation history, one would find that many active materials can achieve shape memory effects or its active motion through the phase evolution mechanism, such as light activated polymers developed by Lendlein et al [53] and Scott and coworkers [220,293], covalent adaptable network polymers with bond exchange reaction [294,295], DielsAlder network [296,297], ionic gels [298]. Several constitutive models were developed in the recent years to model these material systems, such as light activate polymers [299][300][301], shape memory elastomeric composites [302] and its triple shape memory behavior [303,304], polymers with temperature-dependent bond exchange reactions [305], and Diels-Alder networks [306]. The concept of employing phase formation to achieve shape memory effect can be easily illustrated by Fig.…”
Section: Phase Evolution Modelsmentioning
confidence: 99%
“…To further improve the model prediction of time-dependent shape memory behavior, more sophisticated models that contained multiple relaxation times (Buckley et al, 2007;Chen and Nguyen, 2011;Diani et al, 2012;Ge et al, 2012;Westbrook et al, 2011;Xiao et al, 2013;Yu et al, 2012) were used to describe the broad distribution of stress and structural relaxation times typically displayed by thermoset polymers. Recently, the established 3D multibranch model (Westbrook et al, 2011) has been applied successfully to predict various time-and temperature-dependent shape memory behavior (Ge et al, 2013;Ge et al, 2014;Yu et al, 2014). In addition to this dominated thermoviscoelastic approach, in recent years, SMP modeling methods have even incorporated molecular dynamic simulation (Diani and Gall, 2007), quantum mechanics (Zhang et al, 2010), multi-scale modeling (Shojaei and Li, 2013), and statistical mechanics (Shojaei and Li, 2014), etc.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…[21] The T g of PVAc decreases to ∼16°C upon equilibrium plasticization with water, and consequently, the water-soaked PVAc: PCL film has a T g about 16°C and a T m (from PCL) around 55°C, making it an appropriate candidate for triple SM behavior. To characterize this material, dual SM properties of the dry film were first examined.…”
Section: Triple Sm Characterization Of the Hydrated Compositementioning
confidence: 99%
“…[26] Dual SM of a dry composite film was first demonstrated by deforming a rectangular PVAc80:PCL20 sample [ Fig. S16(A)] to a spiral shape (temporary shape) at 80°C (20% being established as the optimal PCL loading level for triple SM properties in other systems [21,[27][28][29] ). Upon fixing in a freezer at −17°C for 10 min, both PVAc and PCL phases were fixed by vitrification and crystallization, respectively [ Fig.…”
Section: Sh Characterizationmentioning
confidence: 99%