Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

Finite Element Modeling of Correlating Mechanical Properties with Erosion Wear Rate

Authors
Bing Wu, Fengfang Wu, Jinjie Li
Corresponding Author
Bing Wu
Available Online June 2018.
DOI
10.2991/eame-18.2018.57How to use a DOI?
Keywords
component; fem; mechanical properties; erosion
Abstract

A finite element display dynamic model was developed to study mechanical properties of single layer coatings under single solid particle impact, simulating particulate erosion conditions. Four coatings on the same material substrate material were analyzed to determine reduction in additional factors influence. The model was used to study the effect of mechanical characteristics such as microhardness, elastic modulus and combination of microhardness and elastic modulus. The result shows that erosion rate of the coatings decreased with an increase of the ratio H3/E2 and H/E.

Copyright
© 2018, 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 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
Series
Advances in Engineering Research
Publication Date
June 2018
ISBN
10.2991/eame-18.2018.57
ISSN
2352-5401
DOI
10.2991/eame-18.2018.57How to use a DOI?
Copyright
© 2018, 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  - Bing Wu
AU  - Fengfang Wu
AU  - Jinjie Li
PY  - 2018/06
DA  - 2018/06
TI  - Finite Element Modeling of Correlating Mechanical Properties with Erosion Wear Rate
BT  - Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)
PB  - Atlantis Press
SP  - 273
EP  - 276
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-18.2018.57
DO  - 10.2991/eame-18.2018.57
ID  - Wu2018/06
ER  -