Temperature and rate dependent thermomechanical modeling of shape memory polymers with physics based phase evolution law

Yang, Qinghua; Li, Guoqiang

doi:10.1016/j.ijplas.2015.09.005

Cited by 95 publications

(29 citation statements)

References 129 publications

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“…Lu et al [2019] developed a cooperative domain model to describe the glass transition and relaxation behaviors of SMPs, particularly to characterize the tripe-SME in multiple phase SMPs. Besides, many other comprehensive phenomenological models have been developed based on the phase transition concept, such as Reese et al [2010], Long et al [2010], Xu and Li [2010], Baghani et al [2014], Gu et al [2015], Moon et al [2015], Yang and Li [2015], Li et al [2017b], Lu et al [2018] and . Previous studies on these phase transition models showed that phenomenological models could provide clear physical interpretation between the glass transition and SME.…”

Section: -4mentioning

confidence: 99%

Recent Advances of the Constitutive Models of Smart Materials — Hydrogels and Shape Memory Polymers

Huang

Zheng

Liu

et al. 2020

Int. J. Appl. Mechanics

187

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Hydrogels and shape memory polymers (SMPs) possess excellent and interesting properties that may be harnessed for future applications. However, this is not achievable if their mechanical behaviors are not well understood. This paper aims to discuss recent advances of the constitutive models of hydrogels and SMPs, in particular the theories associated with their deformations. On the one hand, constitutive models of six main types of hydrogels are introduced, the categorization of which is defined by the type of stimulus. On the other hand, constitutive models of thermal-induced SMPs are discussed and classified into three main categories, namely, rheological models; phase transition models; and models combining viscoelasticity and phase transition, respectively. Another feature in this paper is a summary of the common hyperelastic models, which can be potentially developed into the constitutive models of hydrogels and SMPs. In addition, the main advantages and disadvantages of these constitutive modes are discussed. In order to provide a compass for researchers involved in the study of mechanics of soft materials, some research gaps and new research directions for hydrogels and SMPs constitutive modes are presented. We hope that this paper can serve as a reference for future hydrogel and SMP studies.

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Section: -4mentioning

confidence: 99%

Recent Advances of the Constitutive Models of Smart Materials — Hydrogels and Shape Memory Polymers

Huang

Zheng

Liu

et al. 2020

Int. J. Appl. Mechanics

187

View full text Add to dashboard Cite

show abstract

“…In other words, a glassy phase may evolve into rubbery phase upon heating. This phase transition does not take place in all glassy phases at once, however, starts from the domains with higher energy and evolves gradually until the transition is fully accomplished (Yang and Li, 2015). To address this behavior, we adopt the phase evolution law introduced by Guo et al (2015) to describe the temperature dependence of the glassy phase volume fraction within the amorphous matrix:…”

Section: Nano-and Micro-scale Modeling For the Semi-crystalline Polyementioning

confidence: 99%

A top-down multi-scale modeling for actuation response of polymeric artificial muscles

Yang

2016

Journal of the Mechanics and Physics of Solids

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A class of innovative artificial muscles made of high-strength polymeric fibers such as fishing lines or sewing threads have been discovered recently. These muscles are fabricated by a simple "twist insertion" procedure, which have attracted increasing attention due to their low cost and readily availability, giant tensile stroke, record energy density, and easy controllability. In the present paper, we established a multi-scale modeling framework for the thermomechanical actuation responses by a top-down strategy, spanning from macro-scale helical spring analysis down to molecular level chain interaction study. Comparison between modeling results and experimental results exhibited excellent agreement. The effect of the micro-, meso-and macroscale parameters on the actuation responses of the artificial muscle was further discussed through a parametric study per the validated model. This work helps understand the physical origin behind the remarkable tensile actuation behavior of the twisted-then-coiled polymeric artificial muscles and also provides inspirations for optimal design of advanced artificial muscles made by twist-insertion procedure.

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“…Shape memory polymers (SMPs) are a class of smart materials that have the ability to fix a deformed shape and recover to their original shape under a certain stimulus, such as light, electricity, heat, magnetic field and so on . Compared with other shape memory materials, for instance, shape memory alloys (SMA), shape memory ceramics (SMC), SMPs have many unique charcteries: light weight, low cost, easily tailored transition temperature, tunable to biocompatibility and biodegradability and especially large deformation recovery capacity (up to 800% in comparison with 8% for SMA and 1% for SMC) .…”

Section: Introductionmentioning

confidence: 99%

“…The second type model was first proposed by Liu et al , which adopt the first‐order phase transition concept by assuming that the SMP model is a mixture of a frozen phase and an active phase. This concept has been adopted by Baghani et al , Barot et al , Boatti et al , Chen et al , Kim et al , Qi et al , Yang et al , Li et al , etc. to improve the ability of predicting the thermomechanical behavior of SMPs.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the thermomechanical behavior of particle reinforced shape memory polymers

2017

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Shape memory polymers (SMPs) have drawn wide attention because they can recover from a deformed shape to their original shape by a certain external stimulus. However, Low modulus and recovery stress limit the application and development of SMPs. It is imperative to find an approach to improve or reinforce these mechanical properties of SMPs. In the present study, the mechanical properties and shape memory effect of spherical particle reinforced shape memory polymer composite (SMPC) are studied numerically through a representative volume element created by using the random sequential adsorption algorithm. The linear viscoelastic model is used to describe the thermomechanical behavior of the SMP matrix while the fillers are regarded as linear elastic glass beads. From our study, we find the elastic modulus and recovery stress are increased considerably by adding 15% volume fraction glass beads into the SMP. Furthermore, it is observed that filling particles slightly deteriorates the shape fixity ratio, however, hardly changes the effective shape recovery ratio for dilute inclusion cases. Our research demonstrates the feasibility of using glass beads to adjust the modulus and recovery stress of SMPs without dramatically affect the shape memory effects. We hope our findings would provide researchers with guides in designing and optimizing SMPC applications. POLYM. COMPOS., 00:000-000, 2017. V C

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Temperature and rate dependent thermomechanical modeling of shape memory polymers with physics based phase evolution law

Cited by 95 publications

References 129 publications

Recent Advances of the Constitutive Models of Smart Materials — Hydrogels and Shape Memory Polymers

Recent Advances of the Constitutive Models of Smart Materials — Hydrogels and Shape Memory Polymers

A top-down multi-scale modeling for actuation response of polymeric artificial muscles

Prediction of the thermomechanical behavior of particle reinforced shape memory polymers

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