Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Effect of Surface Tension on Nanocontact Problem

Authors
Liyuan Wang
Corresponding Author
Liyuan Wang
Available Online November 2017.
DOI
10.2991/amms-17.2017.6How to use a DOI?
Keywords
surface tension; nano-contact problem; normal triangle distribution force; fourier integral transform method
Abstract

This paper proposes an application of surface elasticity theory in the analysis of contact problem at nano-scale. The Fourier integral transform method is adopted to derive the fundamental solutions for contact problem with surface tension effects. As a special case, the deformation induced by normal triangle distribution force is discussed in detail. The results indicate some interesting characteristics in nano-mechanics, which are distinctly different from those in classical contact problem. The results show that the hardness of material depends strongly on the surface tension.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
978-94-6252-433-0
ISSN
1951-6851
DOI
10.2991/amms-17.2017.6How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liyuan Wang
PY  - 2017/11
DA  - 2017/11
TI  - Effect of Surface Tension on Nanocontact Problem
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 27
EP  - 30
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.6
DO  - 10.2991/amms-17.2017.6
ID  - Wang2017/11
ER  -