A multi-branch thermoviscoelastic model based on fractional derivatives for free recovery behaviors of shape memory polymers

Fang, Changqing; Leng, Jinsong; Sun, Huiyu; Gu, Jianping

doi:10.1016/j.mechmat.2018.03.002

Cited by 34 publications

(32 citation statements)

References 32 publications

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“…All numerical values are provided to the readers, hence anyone can use these models which are in accordance with the measurements performed on the three materials of interest. Among others, these models may be used to describe the shape memory effect in the time domain [21] or to describe the mechanical properties of composite structures embedding Shape Memory Polymers for vibration control in the frequency domain [6]. Users should be aware that the identified models should only be used in the reduced frequency range which has been considered for the fitting: out of this range, they could no longer be representative of the physical behavior.…”

Section: Resultsmentioning

confidence: 99%

“…For applications in which only static phenomena are involved, the intrinsic losses may be neglected but as soon as dynamical phenomena contribute to the mechanical response, viscoelastic effects must be considered. This has been highlighted for years now, and numerous works can be found in the literature that present models of the shape memory effect based on rate-dependent viscoelastic models [11,34,17,56,21,55,32]. Recently, these materials have been identified as able to play a major role in damping-related applications, thanks to the high damping capacities associated to the glass transition [13].…”

Section: Introductionmentioning

confidence: 99%

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Dynamical Mechanical Thermal Analysis of Shape-Memory Polymers

Butaud

Ouisse

Jaboviste

et al. 2019

Advanced Structured Materials

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This chapter is dedicated to the Dynamical Mechanical Thermal Analysis of Shape Memory Polymers. Temperature obviously plays a major role in the mechanical properties of these materials, hence the understanding of the physical phenomena driving the shape memory effect is of first importance for the design of practical applications in which Shape Memory Polymers are used. The Shape Memory effect being closely related to the viscoelastic behavior of the polymer, it is important to properly describe it with appropriate tools. The objective of this chapter is to describe characterization methods, models and parameters identification techniques that can be easily used for the description of the thermo-mechanical behavior of SMPs. The associated models can easily be implemented in finite element codes for time or frequency domain simulations. The experimental results and all numerical values of the models are provided for three Shape Memory Polymers: the tBA/PEGDMA and a Vitrimer, which can easily be manufactured according to the data provided in open literature, and a Shape Memory Polymer filament for 3D printing, which is available on the shelf.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamical Mechanical Thermal Analysis of Shape-Memory Polymers

Butaud

Ouisse

Jaboviste

et al. 2019

Advanced Structured Materials

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“…Relaxation time and time -temperature shift factor rubbery branches (m + 1 [43,44] Relaxation modulus…”

Section: Deformations and Stresses Fmentioning

confidence: 99%

“…Sun et al developed a model with a significantly reduced number of parameters compared to the multi-branch models containing integer-order derivatives based on the multi-branch model of fractional derivatives. In addition, the model can also be used to predict the free recovery behavior of triple-and multi-SMEs and foams [43]. Zeng et al proposed a rate-dependent yield factor to modify the Eying model and combined it with the multi-branch fractional derivative thermoelastic model to describe the temperature-dependent, strain-rate-dependent, yield and post-yield behavior of SMPs [44].…”

Section: Deformations and Stresses Fmentioning

confidence: 99%

Mechanical Models, Structures, and Applications of Shape-Memory Polymers and Their Composites

Xin

Liu

et al. 2019

Acta Mech. Solida Sin.

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Shape-memory polymers (SMPs) and their composite materials are stimuliresponsive materials that have the unique characteristics of lightweight, large deformation, variable stiffness, and biocompatibility. This paper reviews the research status of the mechanical models for SMPs, shape-memory nanocomposites and shape-memory polymer composites (SMPCs); it also introduces some spatially deployable structures, such as hinges, beams, and antennae based on SMPCs. In addition, the deformation types of 4D printing structures and the potential applications of this technology in robots and medical devices are also summarized.The mechanism of shape-memory cycles and the mechanical behavior of SMPs can be described by establishing thermomechanical models, which lay the theoretical foundations for the rational design of SMP structures. This section will focus on the constitutive models for SMPs, the micromechanical models of SMPNs, and the buckling behavior of SMPCs.

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“…This is to say that the highest transition temperature ( max T , defined as the finish temperature of phase transition) of the first soft segment should be lower than the initial transition temperature ( min T , defined as the starting temperature of phase transition) of the second soft segment. Several important parameters such as transition temperature, relaxation time, heating rate and thermomechanical modulus play critical roles in determining the multi-SME [17][18][19][20][21]. In terms of thermodynamics, multi-shape memory behavior is originated from the segmental relaxation of multiple segments, which then respond in a time and temperature dependent manner [22,23].…”

Section: Introductionmentioning

confidence: 99%