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Foreword: Polymer Nanocomposites: Are There Scientific Questions with No Answers? xi Jean-François GÉRARD
Chapter 1 Graphite and Graphene Nanoplatelets (GNP) Filled Polymer Matrix Nanocomposites 1 Marc PONÇOT, Adrien LETOFFE, Stéphane CUYNET, Sébastien FONTANA and Lucie SPEYER
1.1 General information on graphene 1
1.1.1 Definition and structure 1
1.1.2 Structures associated with graphene 2
1.1.3 Graphene properties 3
1.2 Graphene preparation methods 3
1.2.1 Graphite exfoliation 5
1.2.2 Graphite-derived compounds exfoliation 9
1.3 Methods of dispersion of carbon nanofillers in a polymer matrix 14
1.3.1 In situ polymerization 14
1.3.2 Intercalation in solution 16
1.3.3 Melt mixing 18
1.3.4 Comparison of development methods 22
1.4 Influence of the nanofiller on the properties of the nanocomposite 23
1.4.1 Analysis of the material morphology 23
1.4.2 Influence of nanofillers on semi-crystalline microstructures 24
1.4.3 Influence of nanofillers on mechanical properties 26
1.4.4 Influence of nanofillers on electrical properties 29
1.4.5 Evolution of the thermal resistance 34
1.5 References 36
Chapter 2 Morphological Characterization Techniques for Nano-Reinforced Polymers 47 Adoté Sitou BLIVI, Benhui FAN, Djimédo KONDO and Fahmi BEDOUI
2.1 Transmission electron microscopy 47
2.1.1 Sample preparation and acquisition of the TEM images 48
2.1.2 Size, dispersion and interparticle distance 49
2.2 X-ray diffraction 55
2.2.1 SAXS 56
2.2.2 WAXS 62
2.3 Conclusion 67
2.4 References 68
Chapter 3 Size Effects on Physical and Mechanical Properties of Nano-Reinforced Polymers 71 Fahmi BEDOUI, Adoté Sitou BLIVI, Benhui FAN and Djimédo KONDO
3.1 Size effect on the glass transition temperature 71
3.1.1 Differential scanning calorimetry 71
3.1.2 Dynamic mechanical analysis 73
3.1.3 Wide-angle temperature synchrotron X-ray diffraction (WAXS) 74
3.2 Thermal stability 82
3.3 Effect of size on mechanical properties 83
3.3.1 Quasi-static tests: elastic properties 83
3.3.2 Dynamic tests: viscoelastic properties 88
3.4 Conclusion 90
3.5 References 91
Chapter 4 Effects of the Size and Nature of Fillers on the Thermal and Mechanical Properties of PEEK Matrix Composites 93 Marie DOUMENG, Karl DELBÉ, Florentin BERTHET, Olivier MARSAN, Jean DENAPE and France CHABERT
4.1 Introduction 93
4.2 Materials and methods 96
4.2.1 Polymer 96
4.2.2 Reinforcements 97
4.2.3 Nano- and microcomposites preparation 101
4.2.4 Characterization 102
4.3 Results 104
4.3.1 Characterization of the powders 104
4.3.2 Filler distribution in the matrix 107
4.3.3 Effect of size on thermal transitions 111
4.3.4 Effect of size on the degree of crystallinity 112
4.3.5 Thermal properties 116
4.3.6 Effect of size on mechanical properties 119
4.4 Conclusion 133
4.5 References 135
Chapter 5 Study of Interface and Interphase between Epoxy Matrix and Carbon-based Nanofillers in Nanocomposites 141 Yu LIU, Delong HE, Ann-Lenaig HAMON and Jinbo BAI
5.1 Introduction 141
5.1.1 Surface modification of the fillers 142
5.1.2 Experimental techniques 143
5.2 Structural analysis of the interface with electron energy-loss spectroscopy 143
5.2.1 Analysis technique 143
5.2.2 Results 146
5.2.3 Interpretation 148
5.3 In situ tensile test using scanning electron microscopy 149
5.3.1 Experimental set-up 151
5.3.2 Results 151
5.3.3 Interpretation 153
5.3.4 Perspectives 154
5.4 Conclusion 155
5.5 Acknowledgments 155
5.6 References 155
Chapter 6 Multiscale Modeling of Graphene-polymer Nanocomposites with Tunneling Effect 157 Xiaoxin LU, Julien YVONNET, Fabrice DETREZ and Jinbo BAI
6.1 Introduction 157
6.2 Modeling of effective electric nonlinear behavior in graphene-polymer nanocomposites 159
6.2.1 Tunneling effect 159
6.2.2 Nonlinear electrical conduction model at the RVE scale 161
6.3 Numerical simulations of effective electric conductivity 164
6.3.1 Effect of barrier height on the percolation threshold 164
6.3.2 Effect of graphene aspect ratio on the percolation threshold 165
6.3.3 Effect of alignment of graphene sheets 165
6.3.4 Comparison between numerical and experimental results 167
6.4 Two-scale approaches 169
6.4.1 Construction of the surrogate model based on ANN: strategy 170
6.4.2 Structural application 171
6.5 Electromechanical coupling 173
6.5.1 Mechanical modeling 173
6.5.2 Constitutive laws 175
6.5.3 Weak form of mechanical problem 175
6.5.4 Identification of cohesive zone model 176
6.5.5 Evolution of electrical properties under stretching of the composite 178
6.6 Conclusion 180
6.7 References 181
Chapter 7 Computational Modeling of Carbon Nanofiller Networks in Polymer Composites 187 Angel MORA
7.1 Introduction 187
7.2 Modeling and simulation of CNT/polymer nanocomposites 190
7.2.1 Geometrical modeling of CNT/polymer nanocomposites 190
7.2.2 Analysis of electrical conductivity 191
7.3 Improving electrical conductivity of polymers loaded with CNTs 193
7.3.1 Introducing a definition of loading efficiency 194
7.3.2 Efficiency and electrical conductivity of polymers loaded with CNTs 196
7.3.3 Influence of junction resistance 196
7.4 Improving electrical conductivity of polymers loaded with hybrid particles 198
7.4.1 Hybrid particles 198
7.4.2 Efficiency and electrical conductivity of CNT-GNP hybrid-particle networks 200
7.4.3 Optimization of the hybrid-particle geometry 201
7.5 Conclusions 205
7.6 References 205
Chapter 8 Electrostrictive Polymer Nanocomposites: Fundamental and Applications 213 Shenghong YAO and Jinkai YUAN
8.1 Introduction 213
8.2 Electrostriction relations 215
8.3 Determination of the electrostriction coefficient 217
8.4 The route to high electrostriction materials 222
8.5 Applications of electrostrictive materials 226
8.5.1 Actuators 226
8.5.2 Capacitive sensors 226
8.5.3 Mechanical energy harvesting 228
8.6 Conclusions and perspectives 234
8.7 References 234
List of Authors 241
Index 245
Marc PONÇOT, Adrien LETOFFE, Stéphane CUYNET, Sébastien FONTANA and Lucie SPEYER
Institut Jean Lamour, University of Lorraine, Nancy, France
Graphene is a plane of carbon atoms in sp2 hybridization. It is the basic constituent of graphite, carbon nanotubes and fullerenes. Figure 1.1 shows a graphene plane.
Graphene can present some structural defects, although its low dimensionality reduces the number of possible imperfections. For instance, the graphene plane may not be strictly composed of hexagons of carbon atoms: these are Stone-Wales defects, where four hexagons are transformed into two pentagons and two heptagons when one of the bonds rotates. Single and double gaps can appear, as well as dislocations, atoms and impurities of substitution. These defects have a strong influence on the physical properties of graphene. In addition, some defects generate dangling bonds that increase the chemical reactivity of graphene (Banhart et al. 2011).
Figure 1.1. Representation of a graphene plane
As will be discussed later in this chapter, a single graphene plane is difficult to obtain and synthesis methods most often result in the stacking of multiple planes, often referred to in the literature as graphene itself. In fact, a specific terminology for carbonaceous materials with a two-dimensional character has been established (Bianco et al. 2013) and the following structures should be distinguished from the single graphene plane:
The calculated and measured properties of graphene are unique and remarkable, which explains the interest of the scientific community. Wallace (1947) showed the particular electronic structure of graphene. Thus, graphene is considered as a zero-gap semiconductor. The mobility of charge carriers is high and has been measured up to 230,000 m2·V-1·s-1 (Bolotin et al. 2008). This value corresponds to the highest value for a semiconductor. Its thermal conductivity is also remarkable. It reaches 5,300 W·m-1 ·K-1 (Rutter et al. 2007), which corresponds to the highest value for a material. In comparison, diamond, which is well known for its ability to evacuate heat, has a thermal conductivity of only 2,000 W·m-1·K-1. Its network of sp2-hybridization atoms gives graphene a unique set of mechanical properties. The combination of a hardness equivalent to that of diamond, close to 1 TPa, a very high flexural strength, a high specific stress at break of 48,000 kN·m·kg-1 and its elongation at break of 25% makes it unique (Lee et al. 2008; Zhu et al. 2010). In comparison, steel has a specific stress at break of 154 kN·m·kg-1 (Zhu et al. 2010). Graphene has a transparency of 97.7% in the visible spectrum (Rutter et al. 2007; Zhu et al. 2010). Graphene is considered to be the most impermeable material in the world. This is due to the combination of its sp2-hybridization carbon atom lattice with high electron density in its aromatic rings and its structure (covalent bonds and rupture stress) (Berry 2013). Another important property of graphene is that its theoretical specific surface area is 2,630 m2·g-1 (Ferrari et al. 2015), which is very high for a carbonaceous material.
Graphene is an amazing material because of the combination of exceptional properties conferred by its two-dimensional character and sp2-hybridization lattice of carbon atoms. The properties are particularly noticeable in the case of a single plane of free single-crystal graphene. Many works have been dedicated to graphene synthesis since the research by Novoselov and Geim (2004). Several so-called major synthesis methods have been developed and allow very different samples to be obtained according to several criteria:
Figure 1.2 shows the materials obtained by the synthesis methods described in this chapter, according to their structural quality and their estimated cost for industrial production.
Figure 1.2. Quality and industrial cost of graphene samples obtained by different synthesis techniques (Novoselov et al. 2012). For a color version of this figure, see www.iste.co.uk/bai/nanocomposites.zip
Mechanical exfoliation produces an excellent structural quality but, although very simple in principle, would generate too high a manufacturing cost. Liquidphase exfoliation, although based on the same principle, provides graphene dispersions of lower quality, but it is much easier to obtain large quantities of material. The supported growth techniques, which will not be detailed in this chapter, are expensive techniques (energy cost, price of substrates and silicon carbide wafers, reaction chambers), but the material is of high quality, and some techniques make it possible to obtain very large surface areas (Bae et al. 2010). In graphite, the cohesion of the crystal along the axis is ensured by Van der Waals bonds. The basic principle of exfoliation techniques is to break these bonds, by the so-called dry method or in liquid phase, in order to obtain graphene. It is also possible to exfoliate other graphite-based materials, such as intercalation compounds and graphite oxide (GO).
Mechanical exfoliation is the synthesis technique made famous by Novoselov and Geim (2004). The principle is very simple and consists of applying adhesive tape on graphite (typically pyrolytic graphite because of its superior crystalline quality), peeling off the tape by isolating a certain thickness of graphene planes, and repeating the operation on the film thus obtained until the thinnest possible thickness is reached (Novoselov et al. 2004). The material is then usually transferred to a SiO2/Si substrate to allow for the selection of the single walls by way of characterization techniques, such as optical microscopy. To date, mechanical exfoliation remains the technique that enables the best electronic and structural quality to be obtained. However, it is not suitable for industrial production: its main application remains basic research and the development of prototypes for various applications (Novoselov et al. 2012). Other dry exfoliation techniques have been developed, motivated by the crystalline quality of graphene obtained by mechanical exfoliation and in attempts to solve the problem of large-scale production. Laser ablation of graphite (Dhar et al. 2011) or anodic exfoliation (Shukla et al. 2009) have been performed and also yield high-quality material.
Liquid-phase exfoliation of graphite is based on graphite dispersion in solvent and on the transition from dispersion to ultrasounds. Due to the hydrodynamic forces, the ultrasounds will generate a phenomenon of cavitation, namely the formation of bubbles. These bubbles will be able to break the Van der Waals bonds between the graphene planes, and the solvent must be able to stabilize the planes in suspension to prevent their reaggregation. The fundamental characteristic of the solvent to be considered in this perspective is the surface tension. Indeed, a solvent with adapted surface tension will be able to minimize the interfacial tension between the graphene sheets and the solvent molecules, and thus prevent their reaggregation. The ideal surface tension is 40-50 mJ·m-2. Graphite exfoliation is thus carried out in solvents such as N-methylpyrrolidone (NMP) or dimethylformamide (DMF). A centrifugation step needs to be added to remove the thickest particles (Hernandez et al. 2008). This process allows dispersions of micrometer-sized particles to be obtained, generally less than 5 planes thick, with a final...
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