materials-13-00041.pdf (6.75 MB)
Multiscale numerical and experimental analysis of tribological performance of GO coating on steel substrates
journal contribution
posted on 2020-01-03, 13:54 authored by Robin Hildyard, Mahdi Mohammadpour, Sina Saremi-YarahmadiSina Saremi-Yarahmadi, Manuela PacellaManuela PacellaHerein, nano-tribological behaviour of graphene oxide (GO) coatings is evaluated by a
combination of nanoscale frictional performance and adhesion, as well as macroscale numerical
modelling. A suite of characterisation techniques including atomic force microscopy (AFM) and
optical interferometry are used to characterise the coatings at the asperity level. Numerical
modelling is employed to consider the effectiveness of the coatings at the conjunction level. The
macroscale numerical model reveals suitable deposition conditions for superior GO coatings, as
confirmed by the lowest measured friction values. The proposed macroscale numerical model is
developed considering both the surface shear strength of asperities of coatings obtained from AFM
and the resultant morphology of the depositions obtained from surface measurements. Such a
multi-scale approach, comprising numerical and experimental methods to investigate the tribological
behaviour of GO tribological films has not been reported hitherto and can be applied to real-world
macroscale applications such as the piston ring/cylinder liner conjunction within the modern internal
combustion engine.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
- Mechanical, Electrical and Manufacturing Engineering
Department
- Materials
Published in
MaterialsVolume
13Issue
1Publisher
MDPIVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2019-12-16Publication date
2019-12-20Copyright date
2020ISSN
1996-1944eISSN
1996-1944Publisher version
Language
- en
Depositor
Dr Manuela Pacella Deposit date: 20 December 2019Article number
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