Issue |
E3S Web Conf.
Volume 505, 2024
3rd International Conference on Applied Research and Engineering (ICARAE2023)
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Article Number | 01014 | |
Number of page(s) | 8 | |
Section | Materials Science | |
DOI | https://doi.org/10.1051/e3sconf/202450501014 | |
Published online | 25 March 2024 |
Study the wear behaviour of Al7075/SiC Composite utilizing the grey-based Taguchi technique
1 Department of Mechanical Engineering, Dream Institute of Technology, Kolkata, India
2 Centre of Research Impact and Outreach, Chitkara University, Rajpura, Punjab, India
3 Department of Aeronautical Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana
4 Department of Mechanical Engineering, G.M.R Institute of Technology, Rajam, India
5 Department of Mechanical Engineering, Gulzar Group of Institutions, Punjab, India
6 College of Medical Technology, The Islamic University, Najaf, Iraq
7 Division of Research and Development, Lovely professional University, Phagwara, India
* Corresponding author: abhijitbhowmik90@gmail.com
Composites are replacing more conventional materials due to their advantageous properties, such as high strength, hardness, low weight, and wear resistance. In this study, the stir casting method is used to create an Al7075/SiC aluminium matrix composite, and its dry sliding wear behaviour is examined. The EDX and SEM results both show that the silicon carbide is evenly distributed throughout the matrix. The dry sliding wear behaviour of the composites is investigated using the Taguchi L16 orthogonal array to reduce the number of experimental runs. Four key process parameters—reinforcement quantity (0%, 3%, 6%, and 9%), load (15N, 30N, 45N, and 60N), sliding velocity (0.75m/s), sliding distance (1.5m/s), and sliding distance (3m/s)—are evaluated across four levels to determine the best parameter combination for reducing wear rate. S/N ratios are best when the following conditions are met: 3 wt.% SiC reinforcement, 15 N load, 3 m/s sliding velocity, and 800 m sliding distance (as shown in the main effect graphic). Wear rate, frictional force, and coefficient of friction are all affected by the four process parameters, and their effects are often studied using analysis of variance (ANOVA). The Analysis of Variance (ANOVA) outcome indicated that the probability value associated with the applied load was below 0.05, signifying statistical significance.
© 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.
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