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Organic-Inorganic Hybrid Nanomaterials pp 313–350Cite as

Shape Memory Polymer–Inorganic Hybrid Nanocomposites

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Part of the book series: Advances in Polymer Science ((POLYMER,volume 267))

Abstract

Shape memory polymers (SMPs) have been the focus of much research over the last few decades. From the novelty of temporarily fixing a three-dimensional shape from a planar polymer sheet, to the uses that SMPs are seeing today as softening biomedical implants and self-deploying hinges, this class of smart materials has successfully been used to tackle a variety of biological, electrical, and mechanical problems. However, the properties of these networks are limited by the organic nature of the SMPs. To enhance their properties, researchers across the globe have looked into imparting the desirable properties of inorganic composite materials to these polymer networks. As the field of shape memory polymer composites began to grow, researchers quantified the unique enhancements that came at varying filler loading levels as a result of controlled material interface interactions. Specifically, the incorporation of nanofillers of various shapes and sizes leads to increased internal interfacial area relative to micro- and macrocomposites at identical loading fractions and imparts interesting mechanical, optical, electrical, thermal, and magnetic properties to these emerging nanocomposites. This new class of material, referred to in this review as shape memory polymer–inorganic nanocomposites (SMPINCs), allows a host of new interactions between the smart polymer and its surrounding environment as a result of the ability to control the internal environment of the polymer network and nanofiller. In this work, the reader is introduced to both the methods of preparing these composites and the effects the fillers have on the biological, electromagnetic, and mechanical properties of the resulting composite.

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Abbreviations

AuCd:

Gold-cadmium alloy

BMP:

Bone morphogenetic protein

BNNT:

Boron nitride nanotube

CNT:

Carbon nanotube

DMA:

Dynamic mechanical analysis

DSC:

Differential scanning calorimetry

Fe2O3 :

Iron(III) oxide

Fe3O4 :

Iron(II,III) oxide

HA:

Hydroxyapatite

LSPR:

Localized surface plasmon resonance

MMT:

Montmorillonite

MWCNT:

Multiwalled carbon nanotube

Na-MMT:

Sodium montmorillonite

PCL:

Poly(ε-caprolactone)

PDLLA:

Poly(d,l-lactide)

PEG:

Poly(ethylene glycol)

PEMA:

Poly(ethyl methacrylate)

PEO:

Poly(ethylene oxide)

PLA:

Poly(lactic acid)

PMMA:

Poly(methyl methacrylate)

POSS:

Polyhedral oligomeric silsesquioxane

SiC:

Silicon carbide

SMP:

Shape memory polymer

SMPC:

Shape memory polymer composite

SMPINC:

Shape memory polymer–inorganic nanocomposite

T d :

Degradation temperature

T g :

Glass transition temperature

TiO2 :

Titanium dioxide

T m :

Melting temperature

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Authors and Affiliations

  1. Department of Bioengineering, The University of Texas at Dallas, 800 West Campbell RD, Mailstop RL 10, Richardson, TX, 75080, USA

    Radu Reit & Walter Voit

  2. Department of Chemistry, The University of Texas at Dallas, 800 West Campbell RD, Mailstop RL 10, Richardson, TX, 75080, USA

    Benjamin Lund & Walter Voit

  3. Department of Materials Science and Engineering, The University of Texas at Dallas, 800 West Campbell RD, Mailstop RL 10, Richardson, TX, 75080, USA

    Benjamin Lund & Walter Voit

  4. Department of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell RD, Mailstop RL 10, Richardson, TX, 75080, USA

    Walter Voit

Authors
  1. Radu Reit
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  2. Benjamin Lund
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  3. Walter Voit
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Correspondence to Walter Voit .

Editor information

Editors and Affiliations

  1. Department of Chemistry, Bahra University, Waknaghat, Himachal Pradesh, India

    Susheel Kalia

  2. School of Chemical Engineering, Yeungnam University, Gyeongbuk, Korea, Republic of (South Korea)

    Yuvaraj Haldorai

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Reit, R., Lund, B., Voit, W. (2014). Shape Memory Polymer–Inorganic Hybrid Nanocomposites. In: Kalia, S., Haldorai, Y. (eds) Organic-Inorganic Hybrid Nanomaterials. Advances in Polymer Science, vol 267. Springer, Cham. https://doi.org/10.1007/12_2014_290

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