An analytical solution for shape-memory-polymer Euler–Bernoulli beams under bending

Baghani, Mostafa; Mohammadi, Hossein; Naghdabadi, R.

doi:10.1016/j.ijmecsci.2014.04.009

Cited by 39 publications

(26 citation statements)

References 27 publications

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“…Complementarily, Baghani et al (2012b) introduced a constitutive model for SMPs in the small strain regime. Based on this model, they developed a 3D constitutive model under time-dependent multiaxial thermomechanical loading conditions (Baghani et al, 2014a; Baghani et al, 2014b; Baghani and Naghdabadi, 2012). In another work, Baghani et al (2012a) studied the shape memory behavior of helical springs under axial force, both analytically and numerically.…”

Section: Introductionmentioning

confidence: 99%

An experimental–numerical study on shape memory behavior of PU/PCL/ZnO ternary blend

Shirsavar

Baghani

Taghavimehr

et al. 2018

Journal of Intelligent Material Systems and Structures

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Shape memory polymer composites have attracted significant attention due to novel properties and great applications. In this article, we focus on the fabrication and simulation of polyurethane/polycaprolactone nanocomposites. The polyurethane/polycaprolactone blends containing ZnO nanoparticles (5 to 30 wt%) are fabricated using a solution mixing and casting method. It is found that significant improvement of polyurethane/polycaprolactone composites in Young’s modulus is achieved by incorporating 20 wt% of ZnO nanoparticles; also, the results of the shape recovery ratio reveal that adding an optimum amount of ZnO (the reinforcement) can increase the shape recovery ratio (for 20 wt% of ZnO). These results could most likely be explained by the fact that some particles restrict the hard segment–soft segment interactions and provide more mobility to polycaprolactone components, while the other nanoparticles can act as the nucleating agent for polycaprolactone chains. A generalized Maxwell model is then used to examine the shape memory behavior of shape memory polymer composites. The dynamic mechanical thermal analysis results are utilized to define the model coefficients and the simulation is carried out to determine the shape recovery ratio. Simulation of this shape recovery ratio for shape memory polymer composites reveals that the numerical results are in good agreement with those of the experimental data.

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Section: Introductionmentioning

confidence: 99%

An experimental–numerical study on shape memory behavior of PU/PCL/ZnO ternary blend

Shirsavar

Baghani

Taghavimehr

et al. 2018

Journal of Intelligent Material Systems and Structures

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“…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

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“…Two-way SMP beam bending could have a vast range of applications due to its shape as well as force recovery characteristic, for example, in actuators and sensors (Meng et al, 2013). Baghani et al (2014), employing their constitutive model (Baghani et al, 2012), attempted to present an analytical solution for an SMP beam based on Euler-Bernoulli beam theory (EBBT; Baghani et al, 2014). Ghosh et al (2013) developed a finite-element formulation for EBBT.…”

Section: Introductionmentioning

confidence: 99%

Developing a beam formulation for semi-crystalline two-way shape memory polymers

Maleki-Bigdeli

Baniassadi

Wang

et al. 2020

Journal of Intelligent Material Systems and Structures

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In this research, the bending of a two-way shape memory polymer beam is examined implementing a one-dimensional phenomenological macroscopic constitutive model into Euler–Bernoulli and von-Karman beam theories. Since bending loading is a fundamental problem in engineering applications, a combination of bending problem and two-way shape memory effect capable of switching between two temporary shapes can be used in different applications, for example, thermally activated sensors and actuators. Shape memory polymers as a branch of soft materials can undergo large deformation. Hence, Euler–Bernoulli beam theory does not apply to the bending of a shape memory polymer beam where moderate rotations may occur. To overcome this limitation, von-Karman beam theory accounting for the mid-plane stretching as well as moderate rotations can be employed. To investigate the difference between the two beam theories, the deflection and rotating angles of a shape memory polymer cantilever beam are analyzed under small and moderate deflections and rotations. A semi-analytical approach is used to inspect Euler–Bernoulli beam theory, while finite-element method is employed to study von-Karman beam theory. In the following, a smart structure is analyzed using a prepared user-defined subroutine, VUMAT, in finite-element package, ABAQUS/EXPLICIT. Utilizing generated user-defined subroutine, smart structures composed of shape memory polymer material can be analyzed under complex loading circumstances through the two-way shape memory effect.

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An analytical solution for shape-memory-polymer Euler–Bernoulli beams under bending

Cited by 39 publications

References 27 publications

An experimental–numerical study on shape memory behavior of PU/PCL/ZnO ternary blend

An experimental–numerical study on shape memory behavior of PU/PCL/ZnO ternary blend

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

Developing a beam formulation for semi-crystalline two-way shape memory polymers

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