Nanotech 2006 Vol. 1
Nanotech 2006 Vol. 1
Technical Proceedings of the 2006 NSTI Nanotechnology Conference and Trade Show, Volume 1

Nanoscale Modeling Chapter 7

Multiscale Modelling and Simulation of Nanoparticle-reinforced Damping Materials

Authors: M. Kireitseu, L.V. Bochkareva, H. Altenbach and G. Tomlinson

Affilation: UIIP National Academy of Sciences of Belarus, Belarus

Pages: 645 - 648

Keywords: cnt-reinforced composite, damping, coating

Abstract:
Nanoparticle-reinforced composite material is a relatively new vibration damping technology entailing placement of numerous nanoparticles inside vibrating material structure that has wide applica-tions in areas of transportation (aerospace, auto, rail, maritime) and electronics. Carbon nanotubes are particularly cost-decreasing material for large scale industrial applications. The CNT-reinforced mate-rial damping phenomenon is complex because of the variety of energy dissipation/fracture mechanisms involved and there is a need for reliable and reproducible computational technique for damp-ing/dynamic prediction of these materials. Some available approaches are analyzed (table 1) and im-plemented in computer code for comparison of computational efficiency and easy-to-use. To validate the computational approaches in terms of efficiency and computer-based implementation we have used the Materials Algorithms Project originated in the University of Cambridge, UK (www.msm.cam.ac.uk/map/) and continued at the University of Sheffield, concentrating on tailoring an engineering design concept and modelling approaches for damping/dynamics. Advanced workbench tools are being developed by CASE tools and C++. Class diagram-to-use case conformance was checked throughout the design process to verify that the methodology classes were sufficient to imple-ment the use cases. Designed to be modular and extensible, the Virtual Reality Environment for damp-ing/dynamics can be described by two important concepts, functionality and generality. The architec-ture functionally divides itself into Model, Input, Output and Manager.


ISBN: 0-9767985-6-5
Pages: 871
Hardcopy: $119.95

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