| Issue |
MATEC Web Conf.
Volume 393, 2024
2nd International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics (STAAAR-2023)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 7 | |
| Section | Materials Science and Manufacturing Processes | |
| DOI | https://doi.org/10.1051/matecconf/202439301014 | |
| Published online | 13 March 2024 | |
Assessment of Wear rate and Coefficient of Friction of Al6262 WC/MoS2 under wet sliding condition
1 Research Scholar, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai 600117, Tamil Nadu India.
2 Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai 600117, Tamil Nadu India.
3 Department of Mechanical Engineering, Eritrea Institute of Technology, Eritrea
* Corresponding author: ajithdanny1989@gmail.com
The present paper aims at the results of an experimental examination of hybrid metal matrix composites using stir-casting technique.Aluminum alloy (Al 6062) samples reinforced with Tungsten Carbide (WC) and Molydedneum diSulphide are given. 2wt.% , 4wt.%,6wt.% of MoS2 and 3 wt.%, 6 wt.%, 9 wt.% tungsten carbide were mixed together with the aluminum alloy to create the hybrid composite. The tribological aspects of aluminium composites were studied using Pin on disc Method under wet sliding condition.Testing the hybrid composites' hardness revealed that raising the weight percentage of tungsten carbide might raise the hybrid composites' hardness. To examine the wear behavior of hybrid composites, the Taguchi method was utilized in the design of experiments (DOE) approach. The factors that were found to affect wear rate included load, sliding speed, and reinforcing percentage of WC and MoS2 are the most influencing parameters.
Key words: Tribological Assessment / Wear Rate Measurement / Coefficient of Friction Analysis / Al6262 Alloy / WC/MoS2 Composite
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.