An Investigation on Thermomechanical Flexural Response of Shape-Memory-Polymer Beams

Molaaghaie-Roozbahani, Masoud; Heydarzadeh, Navid; Baghani, Mostafa; Eskandari, Amir Hossein; Baniassadi, Majid

doi:10.1142/s1758825116500630

Cited by 10 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the studies on SMPs, changes in temperature lead to the development of thermal stresses and strains in beams, which affects the behavior of SMPs. However, this effect is much more significant in uniaxial tests than bending [46][47][48][49]. Therefore, to study this effect experimentally, bending and tensile tests are conducted in the present work.…”

Section: Thermo-mechanical Shape Memory Testsmentioning

confidence: 99%

An experimental investigation on structural design of shape memory polymers

Roudbarian

Baniasadi

Mojtaba

et al. 2019

Smart Mater. Struct.

Self Cite

View full text Add to dashboard Cite

This paper presents an experimental investigation on the effect of structural (geometrical) design on the thermomechanical behavior of shape memory polymers. Three beams with identical dimensions (length, width, and thickness), material, and mass, but with different geometrical cells (honeycomb, diamond, and rounded rectangle) are designed by solving a set of nonlinear equations and produced using additive manufacturing method. Then, thermomechanical tests under bending and tensile loading at different temperatures are conducted. As a result, shape recovery and force recovery of the beams, due to the shape memory behavior of the material, are measured. In bending and tensile tests, shape and force recovery results of each beam are compared with their own pre-force and other beams. According to the results, the beam with rounded rectangle cells has the most shape recovery and force recovery ratios (compared to its applied pre-force). Shape recovery for this beam type in bending and tensile tests is 93.03% and 87.86%, respectively. The beam with honeycomb cells requires more pre-force in bending and tensile modes for programming, which leads to a higher maximum force recovery, due to its higher strength.

show abstract

Section: Thermo-mechanical Shape Memory Testsmentioning

confidence: 99%

An experimental investigation on structural design of shape memory polymers

Roudbarian

Baniasadi

Mojtaba

et al. 2019

Smart Mater. Struct.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many constitutive models have been developed to describe and predict the thermomechanical behaviors of SMPs. Typically these models could be classified as two categories: phenomenological models and rheological models . The phenomenological model based on the phase translation approach was first introduced by Liu et al, who considered the epoxy‐based SMPs was a mixture of frozen phase and active phase, and the volume fractions of the two phases were changed according to the temperature.…”

Section: Introductionmentioning

confidence: 99%

“…Typically these models could be classified as two categories: phenomenological models and rheological models. [12][13][14][15] The phenomenological model based on the phase translation approach was first introduced by Liu et al, 16 who considered the epoxy-based SMPs was a mixture of frozen phase and active phase, and the volume fractions of the two phases were changed according to the temperature. Under these considerations, they developed a constitutive model which could effectively predict the thermomechanical behavior of the SMP under small strains.…”

mentioning

confidence: 99%

A novel fractional viscoelastic constitutive model for shape memory polymers

Pan

2018

J Polym Sci B Polym Phys

View full text Add to dashboard Cite

Shape memory polymers (SMPs) are a class of smart materials which can recover from a deformed shape to their original shape by a certain external stimulus. To predict the deformation behaviors of SMPs, different constitutive models have been developed in the last few years. However, most of the constitutive models need many parameters to be determined by specific experiments and complex calibration processes. This drawback has limited their application in promoting the development of SMPs. Thus, it is imperative to develop a new constitutive model which is not only accurate, but also relatively simple. In our work, a novel fractional viscoelastic constitutive model coupling with time‐temperature superposition principle is first proposed for SMPs. Then, frequency sweep and temperature sweep experiments are conducted to determine the parameters of the model. Finally, the shape memory free recovery experiments are carried out to validate the predictive capability of the developed model. By comparing the predicted results with experimental data, we find that though our model has only eleven parameters in total, it could capture the thermomechanical behaviors of SMPs in very good agreement with experimental results. We hope the proposed new model provide researchers with guidelines in designing and optimizing of SMP applications. © 2018 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2018, 56, 1125–1134

show abstract

“…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%

Prediction of the thermomechanical behavior of particle reinforced shape memory polymers

2017

View full text Add to dashboard Cite

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

show abstract

An Investigation on Thermomechanical Flexural Response of Shape-Memory-Polymer Beams

Cited by 10 publications

References 33 publications

An experimental investigation on structural design of shape memory polymers

An experimental investigation on structural design of shape memory polymers

A novel fractional viscoelastic constitutive model for shape memory polymers

Prediction of the thermomechanical behavior of particle reinforced shape memory polymers

Contact Info

Product

Resources

About