Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

The improvement of adhesion between epoxy coating and metal matrix through plasma treatment

Authors
Z. Zhai, L.J. Feng, Q. Hou, A.L. Lei
Corresponding Author
Z. Zhai
Available Online December 2017.
DOI
https://doi.org/10.2991/anit-17.2018.12How to use a DOI?
Keywords
ow-temperature plasma, epoxy coatings, Q235 steels, adhesion strength
Abstract
In this work, the surface of Q235 steels was treated by air plasma to improve the adhesion between epoxy coatings and Q235 steels. The epoxy coatings were prepared through the electrostatic spraying. The disbonding test was used to characterized the adhesion strength of epoxy coatings. Meanwhile, the chemical and physical properties of Q235 steels matrix surface before and after treatment were investigated using XPS, AFM and FTIR. The results showed that both the surface roughness and surface free energy of Q235 steels have an obvious increase after the air plasma treatment. In addition, some polar groups were introduced on the surface of matrix. The adhesion strength of epoxy coatings was enhanced from 1.67ñ0.48MPa to 4.25ñ0.58MPa.
Open Access
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Proceedings
2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/anit-17.2018.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Z. Zhai
AU  - L.J. Feng
AU  - Q. Hou
AU  - A.L. Lei
PY  - 2017/12
DA  - 2017/12
TI  - The improvement of adhesion between epoxy coating and metal matrix through plasma treatment
BT  - 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.12
DO  - https://doi.org/10.2991/anit-17.2018.12
ID  - Zhai2017/12
ER  -