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

Quantitative Investigations about the Surface Texture Characteristics of the Nickel-Carbon Composite Thin Films using Stereometric Analysis

Authors
Aleksandra Adamiec, Sebastian Stach, Stefan Talu
Corresponding Author
Aleksandra Adamiec
Available Online November 2017.
DOI
10.2991/amms-17.2017.22How to use a DOI?
Keywords
atomic force microscopy; Nickel-Carbon composite thin films; stereometric analysis; surface micromorphology
Abstract

The purpose of this study was to describe the 3-D nano-scaled surface texture of the Nickel–Carbon (Ni–C) nanocomposite thin films composed of Ni nanoparticles with different average sizes embedded in amorphous hydrogenated carbon using stereometric analysis. The 3-D nanoscaled surface texture was studied by atomic force microscopy (AFM) and stereometric analysis. In a wider context, we also discuss our findings with regard to manufacture of the Nickel-Carbon composite thin films with desired surface characteristics.

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-17.2017.22How 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  - Aleksandra Adamiec
AU  - Sebastian Stach
AU  - Stefan Talu
PY  - 2017/11
DA  - 2017/11
TI  - Quantitative Investigations about the Surface Texture Characteristics of the Nickel-Carbon Composite Thin Films using Stereometric Analysis
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 98
EP  - 101
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.22
DO  - 10.2991/amms-17.2017.22
ID  - Adamiec2017/11
ER  -