The Shape Memory Effect in Polymers

Белошенко, В. А.; Varyukhin, V. N.; Voznyak, Yu. V.

doi:10.1002/chin.200537291

Cited by 14 publications

(22 citation statements)

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“…Bending deformations can also be performed and the deflection visually monitored. Although tension to high strains ( 100%) [6,10,14,25,26,30,38,41] or bending at low strains are often analyzed [9,21,27,39], less effort has been focused on SM behavior in compression [15,16,19,20,22]. Compression strains of 11-150% have been reported [15,20].…”

Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

“…Shape Fixity, R f [6,9,14,16,17,25,26,30,38,39]. Shape fixity characterizes the ability of an SMP to fix the strain imparted in the sample during the deformation step after subsequent cooling and unloading.…”

Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

“…Several ways of expressing R r have been reported. The first approach defines R r as the ratio of the difference between the fixed strain after unloading the sample at T s (e u ) and that after completion of the recovery step (e p ) to the fixed strain after unloading the sample at T s (e u ) [10,14,17,25,26,30,38]. A second approach defines R r as the ratio The recovery rate and strain as a function of temperature are shown.…”

Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

“…SMPs can be classified depending on their structures (thermosets vs. thermoplastics) and transformation temperatures (melting or glass transition temperatures) [2][3][4]. In the literature, SMPs based on common chemistries such as polyurethane (PU) [5][6][7][8][9][10][11][12][13][14][15][16][17][18], epoxy [19][20][21][22][23][24][25], polyolefin [26][27][28], as well as more exotic formulations such as partially dehydrochlorinated poly(vinyl chloride) [29], nylon/polyethylene graft copolymers [30], or poly (ether esters) [31][32][33] have been reported to show varying performances. This emphasizes the key role that polymer molecular design plays on tailoring the shape memory (SM) properties.…”

Section: Introductionmentioning

confidence: 99%

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Challenges of shape memory polymers: A review of the progress toward overcoming SMP's limitations

Rousseau

2008

Polymer Engineering & Sci

394

350

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Many applications ranging from biomedical to aerospace have been proposed for the use of shape memory polymers (SMPs). To optimize SMPs properties for appropriately targeting such wide-spreading application requirements, it becomes necessary to understand the structure/property relationships in SMPs. The literature was reviewed and the recent advances made in the development of SMPs were determined to establish guidelines for composition and structure considerations for designing SMPs with targeted chemical, physical, and shape memory (SM) properties. It was concluded that covalently crosslinked glassy thermosets appear to be better SMP candidates because of their intrinsically higher modulus, greater thermal and chemical stability, higher shape fixity and recovery, and possibly their longer cycle life. However, material design allows for reaching comparable or better properties for all classes of SMPs. This emphasizes that optimization of SMPs requires application-specific molecular, structural, and geometrical design. Current techniques for improving stress recovery and cycle time, which compared to shape memory alloys are the two main limitations of SMPs, are extensively discussed. Understanding the relationships between the composition and structure of an SMP and its SM properties as well as its limitations enables one to better define the development areas for high performance SMPs.

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Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

Section: Shape Memory Properties: Definitions and Characterizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Challenges of shape memory polymers: A review of the progress toward overcoming SMP's limitations

Rousseau

2008

Polymer Engineering & Sci

394

350

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“…Reinforcement of SPU with different nanosized fillers like ferromagnetic nanoparticles, nanoceramics, metal nanopowders, nanoclays, carbon nanotubes (CNTs) for significant improvement in the mechanical and functional properties have been undertaken . However, CNTs are promising due to high aspect ratio, scope of surface modification and retention of aspect ratio during polymer processing . Both single wall CNTs and multiwall carbon nanotubes (MWCNTs) have been used to prepare polymer nanocomposites and it has been reported that ultimate performance of the nanocomposites depends on distribution and dispersion of the CNTs along with extent of crystallization .…”

Section: Introductionmentioning

confidence: 99%

Nonisothermal crystallization kinetics of carbon nanotubes containing segmented polyurethane elastomer

Gupta

Bhave

Chakraborty

et al. 2016

Polymer Engineering & Sci

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Nanocomposites of the segmented polyurethane (SPU) elastomer with different concentrations of multiwall carbon nanotubes (MWCNTs) have been prepared. Scanning electron microscopy has been used to visualize the surface morphology and distribution of the nanotubes inside the matrix. Differential scanning calorimetry has been utilized to investigate the effects of MWCNTs on the crystallization characteristics of the SPU by collecting data at four cooling rates namely 5, 10, 15, and 20°C/min in the temperature range between 200°C to ambient. The results reveal that MWCNTs act as effective nucleating agent for crystallization of the hard segment of SPU and advance the onset and peak temperatures of crystallization by 38 and 23°C, respectively. The associated enthalpy and extent of crystallization are also increased by 34%. Different crystallization kinetic parameters have been calculated using both modified Avrami and combined Ozawa‐Avrami models to suggest a three dimensional growth of crystallization of SPU and its nanocomposites. The activation energy has been calculated using Kissinger method, which indicates that activation energy decreases with increasing concentration of MWCNTs. The calorimetric results have further been correlated with thermomechanical analysis and glass transition temperature of the nanocomposites corresponding to soft segment is found to increase by 20°C. POLYM. ENG. SCI., 56:1248–1258, 2016. © 2016 Society of Plastics Engineers

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Infrared light‐active shape memory polymer filled with nanocarbon particles

Leng

Liu

2009

J of Applied Polymer Sci

134

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In addition to the fabrication of thermoset styrene-based shape memory polymer (SMP) and its nanocomposite filled with nanocarbon particles, this study presents the effect of nanocarbon particles on infrared light-active shape recovery behaviors of this type of SMP material. The experimental results reveal that both pure SMP and SMP filled with nanocarbon particles can be actuated by infrared light in vacuum, while shape memory effect shown by the composite is stronger than that of in pure SMP. Shape memory effect is evaluated by shape recovery ability and shape recovery speed in detail. Moreover, factors which would influence the infrared light-active shape memory effect in SMP with/without nanocarbon particles are explored by scanning electron microscopy (SEM), differential scanning calorimetry (DSC), dynamic mechanical analysis (DMA), and infrared absorption characteristic tests. The better shape memory effect of the nanocomposite attributes to its higher storage modulus and higher infrared absorption capability.

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The Shape Memory Effect in Polymers

Cited by 14 publications

References 1 publication

Challenges of shape memory polymers: A review of the progress toward overcoming SMP's limitations

Challenges of shape memory polymers: A review of the progress toward overcoming SMP's limitations

Nonisothermal crystallization kinetics of carbon nanotubes containing segmented polyurethane elastomer

Infrared light‐active shape memory polymer filled with nanocarbon particles

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