Modeling and Prediction of Polymer Nanocomposite Properties
John Wiley & Sons, Dec 7, 2012 - Technology & Engineering - 350 pages
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 subfi eld 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
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aspect ratio attached monomers bead behavior calculated carbon nanotubes Chem chemical clay platelets CNFs CNTs coefficient compatibilizer components computed copolymer corresponding degree of cure density dispersion distribution elastic elasticity modulus epoxy equation estimates exfoliation experimental data filler finite element fractal free energy function grafted homogenization inclusions increase intercalated isothermal kinetic lattice layer linear Macromolecules material matrix mechanical properties method micromechanical mixture design molecular dynamics monomers montmorillonite morphology MSFEM multiscale modeling nanocomposite systems nanofiller particles aggregates nanoparticle surface nanoparticles neat polymer obtained organically modified oxygen permeation particle volume fraction particles aggregates phase Phys platelets PLLA polymer chain polymer composites polymer matrix polymer nanocomposites polypropylene prediction random reaction reinforced resin rheological scale SCFT shear rates shown in Figure simulation spherical steady shear structure surfactant temperature tensile modulus tensor theory thermal conductivity thermosetting values viscosity volume fraction Young’s modulus