Predicting thermal shape memory of crosslinked polymer networks from linear viscoelasticity

Diani, Julie; Pierre, Guillaume; Frédy, Carole; Rousseau, Ingrid A.

doi:10.1016/j.ijsolstr.2011.11.019

Cited by 194 publications

(177 citation statements)

References 23 publications

Supporting

Mentioning

174

Contrasting

Order By: Relevance

“…Despite that fact, the number of papers dedicated to modeling shape memory polymers remains limited. We may divide the existing models into two categories: the models based on a bi-phasic representation of the material grounded on the rubbery/glassy state transition, first proposed by Liu et al (2006) and adopted by Chen and Lagoudas (2008), Qi et al (2008), Volk et al (2010), Gilormini and Diani (2012), and the thermoviscoelastic approach early introduced by Tobushi et al (1997) and improved by Diani et al (2006), Nguyen et al (2008), Castro et al (2010), Srivastava et al (2010), Diani et al (2012) and Yu et al (2012).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Diani et al (2012) showed that an epoxy network submitted to torsion shape recovery tests in large-deformation small-strain conditions, could be well predicted by simply introducing the material linear viscoelastic parameters into the large-deformation viscoelastic framework of Simo (1987) coupled with the material time-temperature superposition property. The model attributes the shape memory property of amorphous polymer networks to their viscoelasticity combined with time-temperature superposition.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental characterization and thermoviscoelastic modeling of strain and stress recoveries of an amorphous polymer network

Arrieta

Diani

Pierre

2014

Mechanics of Materials

Self Cite

View full text Add to dashboard Cite

is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. AbstractAn acrylate polymer network was submitted to thermomechanical shape memory cycles. The set of experiments characterized the material stress-free strain recovery and the strain-constrained stress recovery in uniaxial tension. Experimental parameters like temperature of strain fixation, amount of strain and heating rate, were varied in order to provide a relatively complete set of experimental data. A model combining the amorphous polymer viscoelasticity and its time-temperature superposition property was used to predict the shape memory behavior of the acrylate polymer network. All the model parameters were characterized using classical tests for mechanical characterization of polymers, which do not include shape memory tests. Model predictions obtained by finite element simulations compared very well to the experimental data and therefore the model relevance for computer assisted application design was assessed.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental characterization and thermoviscoelastic modeling of strain and stress recoveries of an amorphous polymer network

Arrieta

Diani

Pierre

2014

Mechanics of Materials

Self Cite

View full text Add to dashboard Cite

show abstract

“…These temperature-dependent models were based on the well-known Arruda-Boyce model (Arruda and Boyce, 1993), which includes detailed microscopic features of SMPs. Recently, complex problems involving beam, film, and stents have been efficiently analyzed using such numerical methods (Baghani, 2014;Baghani et al, 2014b;Baghani et al, 2012a;Baghani et al, 2012b;Baghani et al, 2012c;Diani et al, 2012;. However, those studies did not propose an appropriate model for large deformation.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Three-dimensional constitutive model for shape memory polymers using multiplicative decomposition of the deformation gradient and shape memory strains

Park

Harrison

Zhang

et al. 2016

Mechanics of Materials

View full text Add to dashboard Cite

show abstract

“…Thermomechanical modelling of SMPs has been extensively studied in the literature [4,5,[8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Most recently Qi and co-workers [25] reported the influence of programming conditions on shape fixity and free shape recovery and developed a unified model for shape memory behaviours.…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical constitutive modelling of shape memory polymer including continuum functional and mechanical damage effects

Shojaei

2014

Proc. R. Soc. A.

View full text Add to dashboard Cite

A multi-mechanism-based phenomenological model is developed within the finite deformation kinematics framework for capturing the thermomechanical behaviour of shape memory polymers (SMPs) both during programming and in service. Particularly, the damage mechanisms in SMPs are studied within the continuum damage mechanics (CDMs) framework in which they are classified into mechanical or physical damage, induced during service condition, e.g. fatigue and functional damage induced during thermomechanical cycles, e.g. shape recovery loss. Statistical mechanics is incorporated to describe the initiation and saturation of these deformation mechanisms. The main advantage of the presented viscoplastic model, comparing to the existing counterparts, is its simplicity by minimizing the need for curve fitting, and capability in simulating the nonlinear stress-strain behaviour of amorphous, crystalline or semicrystalline SMPs. The developed viscoplastic CDM model takes into account several distinctive deformation mechanisms involved in the thermomechanical cycle of SMPs, including glass transition loss events, temperature-dependent material properties, stress relaxation, shape recovery transient events and damage effects. The established model correlates well with the experimental results and its computational capabilities provide material designers with a powerful design tool for future SMP applications.

show abstract

Predicting thermal shape memory of crosslinked polymer networks from linear viscoelasticity

Cited by 194 publications

References 23 publications

Experimental characterization and thermoviscoelastic modeling of strain and stress recoveries of an amorphous polymer network

Experimental characterization and thermoviscoelastic modeling of strain and stress recoveries of an amorphous polymer network

Three-dimensional constitutive model for shape memory polymers using multiplicative decomposition of the deformation gradient and shape memory strains

Thermomechanical constitutive modelling of shape memory polymer including continuum functional and mechanical damage effects

Contact Info

Product

Resources

About