1 option
Modeling and prediction of polymer nanocomposite properties / edited by Vikas Mittal.
Van Pelt Library TA418.9.C6 .M634 2013
Available
- Format:
- Book
- Series:
- Polymer nano-, micro- & macrocomposites
- Language:
- English
- Subjects (All):
- Polymeric composites--Mathematical models.
- Polymeric composites.
- Nanostructured materials--Mathematical models.
- Nanostructured materials.
- Mathematical models.
- Physical Description:
- xvi, 298 pages : illustrations ; 25 cm.
- Place of Publication:
- Weinheim : Wiley-VCH, [2013]
- Summary:
- The book series "Polymer Nano-, Micro- and Macrocomposites" provides complete and comprehensive information on all important aspects of polymer composite research and development, including, but not limited to synthesis, filler modification, modeling, characterization as well as application and commercialization issues. Each book focuses on a particular topic and gives a balanced in-depth overview of the respective subfield of polymer composite science and its relation to industrial applications. With the books the readers obtain dedicated resources with information relevant to their research, thereby helping to save time and money. This book lays the theoretical foundations and emphasizes the close connection between theory and experiment to optimize models and real-life procedures for the various stages of polymer composite development. As such, it covers quantum-mechanical approaches to understand the chemical processes on an atomistic level, molecular mechanics simulations to predict the filler surface dynamics, finite element methods to investigate the macro-mechanical behavior, and thermodynamic models to assess the temperature stability. The whole is rounded off by a look at multiscale models that can simulate properties at various length and time scales in one go - and with predictive accuracy. Book jacket.
- Contents:
- 1 Convergence of Experimental and Modeling Studies / Vikas Mittal Mittal, Vikas 1
- 1.1 Introduction 1
- 1.2 Review of Various Model Systems 1
- References 10
- 2 Self-Consistent Field Theory Modeling of Polymer Nanocomposites / Valeriy V. Ginzburg Ginzburg, Valeriy V. 11
- 2.1 Introduction 11
- 2.2 Theoretical Methods 13
- 2.2.1 Incompressible SCFT 13
- 2.2.2 Compressible SCFT 17
- 2.3 Applications of SCFT Modeling: Predicting the Nanocomposite Phase Behavior 18
- 2.3.1 Organically Modified Nanoclays in a Homopolymer Matrix 18
- 2.3.2 Organically Modified Nanoclays in a Binary Blend Containing End-Functionalized Polymers 24
- 2.4 Summary and Outlook 32
- Acknowledgments 33
- References 33
- 3 Modern Experimental and Theoretical Analysis Methods of Particulate-Filled Nanocomposites Structure / Georgii V. Kozlov Kozlov, Georgii V., Yurii G. Yanovskii Yanovskii, Yurii G., Gennadii E. Zaikov Zaikov, Gennadii E. 39
- 3.1 Introduction 39
- 3.2 Experimental 40
- 3.3 Results and Discussion 42
- 3.4 Conclusions 60
- References 61
- 4 Reptation Model for the Dynamics and Rheology of Particle Reinforced Polymer Chains / Kalonji K. Kabanemi Kabanemi, Kalonji K., Jean-François Hétu Hétu, Jean-François 63
- 4.1 Introduction 63
- 4.2 Terminal Relaxation Time 66
- 4.2.1 Linear Entangled Chains 66
- 4.2.2 Linear Entangled Chains with Rigid Spherical Nanopartides 66
- 4.3 Detachment/Reattachment Dynamics 72
- 4.4 Constitutive Equation 74
- 4.5 Numerical Results 75
- 4.5.1 Step Shear Strain 75
- 4.5.2 Steady Shear Flow 78
- 4.5.3 Start-up of Steady Shear Flow 84
- 4.5.4 Experimental Validation 85
- 4.6 Discussion and Generalization of the Model 88
- 4.6.1 Preliminaries 88
- 4.6.2 Diffusion of an Attached Chain 89
- 4.6.3 Multimode Constitutive Equation 91
- 4.7 Conclusions 92
- References 93
- 5 Multiscale Modeling Approach for Polymeric Nanocomposites / Paola Posocco Posocco, Paola, Sabrina Pricl Pricl, Sabrina, Maurizio Fermeglia Fermeglia, Maurizio 95
- 5.1 Multiscale Modeling of Polymer-Based Nanocomposite Materials: Toward "Virtual Design" 95
- 5.2 Atomistic Scale: Basic Instincts 101
- 5.2.1 Sodium Montmorillonite Silylation: Unexpected Effect of the Aminosilane Chain Length 101
- 5.2.2 Water-Based Montmorillonite/Poly(Ethylene Oxide) Nanocomposites: A Molecular Viewpoint 106
- 5.3 Mesoscale: Connecting Structure to Properties 109
- 5.3.1 Water-Based Montmorillonite/Poly(Ethylene Oxide) Nanocomposites at the Mesoscale 109
- 5.3.2 Nanopartides at the Right Place: Tuning Nanostructure Morphology of Self-Assembled Nanoparticles in Diblock Copolymers 112
- 5.4 Macroscale: Where Is the Detail? The Matter at Continuum 119
- 5.4.1 Small Is Different. Size and Shape Effects of Nanoparticles on the Enhancement Efficiency in PCNs 119
- 5.5 Conclusions 123
- References 125
- 6 Modeling of Oxygen Permeation and Mechanical Properties of Polypropylene-Layered Silicate Nanocomposites Using DoE Designs / Vikas Mittal Mittal, Vikas 129
- 6.1 Introduction 129
- 6.2 Materials and Methods 131
- 6.2.1 Materials 131
- 6.2.2 Filler Surface Modification and Composite Preparation 131
- 6.2.3 Characterization and Modeling Techniques 131
- 6.3 Results and Discussion 132
- 6.4 Conclusions 141
- Acknowledgment 141
- References 141
- 7 Multiscale Stochastic Finite Elements Modeling of Polymer Nanocomposites / Antonios Kontsos Kontsos, Antonios, Jefferson A. Cuadra Cuadra, Jefferson A. 143
- 7.1 Introduction 143
- 7.2 Multiscale Stochastic Finite Elements Method 144
- 7.2.1 Modeling State-of-the-Art and MSFEM Motivation 144
- 7.2.2 Definition of a Representative Material Region (MR) 145
- 7.2.3 Spatial Randomness Identification 146
- 7.2.4 Multiscale Homogenization Model 148
- 7.2.5 Monte Carlo Finite Element Model 152
- 7.3 Applications and Results 153
- 7.3.1 Estimation of Bulk Mechanical Properties 153
- 7.3.2 Modeling of Nanoindentation Data 161
- References 165
- 8 Modeling of Thermal Conductivity of Polymer Nanocomposites / Wei Lin Lin, Wei 169
- 8.1 Models for Thermal Conductivity of Polymer Composites-A Historical Review on Effective Medium Approximations and Micromechanical Models 169
- 8.1.1 Parallel and Series Models 170
- 8.1.2 Maxwell's Model (Maxwell-Garnett Equation) 172
- 8.1.3 Fricke's Model 172
- 8.1.4 Hamilton-Crosser Model 174
- 8.1.5 Hashin's Model 275
- 8.1.6 Nielsen's Micromechanics Model 176
- 8.1.7 Equivalent Inclusion Method 178
- 8.1.8 Benveniste-Miloh Model 180
- 8.1.9 Davis' Model 182
- 8.1.10 Empirical Model by Agari and Uno 182
- 8.1.11 Hasselman-Johnson Model 183
- 8.1.12 Bruggeman Asymmetric Equation 183
- 8.1.13 Felske's Model 185
- 8.2 A Generalized Effective Medium Theory 186
- 8.2.1 ATA 187
- 8.2.2 CPA 188
- 8.2.3 Further Extension of ATA and CPA to Anisotropic Filler with Orientation Distributions 189
- 8.2.4 Incorporation of Size Distribution Functions into ATA and CPA 190
- 8.2.5 Incorporation of Interfacial Thermal Resistance into ATA and CPA 191
- 8.3 Challenges for Modeling Thermal Conductivity of Polymer Nanocomposites 191
- 8.3.1 Size Effect and Surface Effect 191
- 8.3.2 Sensitivity of κ<sub>f</sub> to a Specific Environment 192
- 8.3.3 Interfacial Resistance Plays a Very Important Role 193
- 8.3.4 Filler-Induced Change in κ<sub>m</sub> 195
- 8.3.5 Dispersion and Distribution 196
- Acknowledgments 196
- References 197
- 9 Numerical-Analytical Model for Nanotube-Reinforced Nanocomposites / Antonio Pantano Pantano, Antonio 201
- 9.1 Introduction 201
- 9.2 Numerical-Analytical Model 204
- 9.2.1 The Mori-Tanaka Method 204
- 9.2.1.1 Calculation of the Correlation Matrix A₁<sup>dil</sup> 206
- 9.2.1.2 Calculation of the Stiffness Matrix of the Equivalent Inclusion C₁ 207
- 9.2.2 FEM Model Design 207
- 9.2.2.1 RVE Geometry 207
- 9.2.2.2 Matrix Constitutive Model 208
- 9.2.2.3 Carbon Nanotube 208
- 9.2.2.4 Contact Model 208
- 9.2.2.5 Deformation Mode 209
- 9.2.2.6 Calculation of the Equivalent Young's Modulus of the MWCNT 209
- 9.2.2.7 Calculation of the Eshelby Tensor 209
- 9.3 Results 210
- 9.4 Conclusions 212
- Appendix 9.A 212
- References 213
- 10 Dissipative Particles Dynamics Model for Polymer Nanocomposites / Shin-Pon Ju Ju, Shin-Pon, Yao-Chun Wang Wang, Yao-Chun, Wen-Jay Lee Lee, Wen-Jay 215
- 10.1 Introduction 215
- 10.2 Scheme for Multiscale Modeling 218
- 10.2.1 Dissipative Particle Dynamics Simulation Method 219
- 10.2.2 Coarse-Grained Mapping 219
- 10.2.3 Mixing Energy and Compressibility 220
- 10.2.4 Dissipative Particle Dynamics Scales to Physical Scales 222
- 10.3 Two Case Studies 222
- 10.3.1 PE/PLLA Composite 222
- 10.3.2 CNT/PE/PLLA Composite 228
- 10.4 Future Work 234
- References 234
- 11 Computer-Aided Product Design of Wheat Straw Polypropylene Composites / Rois Fatoni Fatoni, Rois, Ali Almansoori Almansoori, Ali, Ali Elkamel Elkamel, Ali, Leonardo Simon Simon, Leonardo 237
- 11.1 Natural Fiber Plastic Composites 237
- 11.1.1 History and Current Market Situation 237
- 11.1.2 Technical Issues and Current Research Progress 238
- 11.2 Wheat Straw Polypropylene Composites 240
- 11.3 Product Design and Computer-Aided Product Design 242
- 11.4 Modeling Natural Fiber Polymer Composites 245
- 11.5 Mixture Design of Experiments 247
- References 252
- 12 Modeling of the Chemorheological Behavior of Thermosetting Polymer Nanocomposites / Luigi Torre Torre, Luigi, Debora Puglia Puglia, Debora, Antonio Iannoni Iannoni, Antonio, Andrea Terenzi Terenzi, Andrea 255
- 12.1 Introduction 255
- 12.2 The Cure Kinetics Model 258
- 12.3 The Chemoviscosity Model 263
- 12.4 Relationship between T<sub>g</sub> and α 268
- 12.5 Case Study 1: Carbon Nanofibers in Unsaturated Polyester 268
- 12.5.1 Cure Kinetic Analysis 271
- 12.5.2 Chemorheological Analysis 275
- 12.6 Case Study 2: Montmorillonite in Epoxy Resin 277
- 12.6.1 Cure Kinetic Analysis 279
- 12.6.2 Relation between T<sub>g</sub> and
- Degree of Cure 281
- 12.6.3 Chemorheological Analysis 282
- References 285.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 9783527331505
- 3527331506
- OCLC:
- 827256738
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.