| Modeling of Carbon Nanotubes, Graphene and Their Composites 2014 Edition Contributor(s): Tserpes, Konstantinos I. (Editor), Silvestre, Nuno (Editor) |
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ISBN: 3319012002 ISBN-13: 9783319012001 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: October 2013 |
| Additional Information |
| BISAC Categories: - Science | Nanoscience - Science | Physics - Mathematical & Computational - Technology & Engineering | Mechanical |
| Dewey: 530.1 |
| Series: Springer Materials Science |
| Physical Information: 0.9" H x 6.2" W x 9.3" (1.25 lbs) 332 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: A large part of the research currently being conducted in the fields of materials science and engineering mechanics is devoted to carbon nanotubes and their applications. In this process, modeling is a very attractive investigation tool due to the difficulties in manufacturing and testing of nanomaterials. Continuum modeling offers significant advantages over atomistic modeling. Furthermore, the lack of accuracy in continuum methods can be overtaken by incorporating input data either from experiments or atomistic methods. This book reviews the recent progress in continuum modeling of carbon nanotubes and their composites. The advantages and disadvantages of continuum methods over atomistic methods are comprehensively discussed. Numerical models, mainly based on the finite element method, as well as analytical models are presented in a comparative way starting from the simulation of isolated pristine and defected nanotubes and proceeding to nanotube-based composites. The ability of continuum methods to bridge different scales is emphasized. Recommendations for future research are given by focusing on what still continuum methods have to learn from the nano-scale. The scope of the book is to provide current knowledge aiming to support researchers entering the scientific area of carbon nanotubes to choose the appropriate modeling tool for accomplishing their study and place their efforts to further improve continuum methods. |
