Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
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Article Number | 02023 | |
Number of page(s) | 10 | |
Section | Smart Systems for Environmental Development | |
DOI | https://doi.org/10.1051/e3sconf/202449102023 | |
Published online | 21 February 2024 |
ANOVA Study on Wear Parameters in Aluminum metal matrix Nano Composites
1 Associate Professor, Pasumpon Muthuramalinga Thevar College, Usilampatti
2 Bannari Amman institute of Technology, Sathyamangalam, Erode 638401, Tamilnadu, India
3 Assistant Professor, Department of Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 600 127, c.santhoshkumar_civil@psvpec.in
4 The Islamic university, Najaf, Iraq.
5 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun - 248007, India
Corresponding Author : mihirmahanth@gmail.com
In this paper, the effect of wear parameters on the wear rate of AA5086 alloy reinforced with Alumina (Al2O3) and Titanium boride (TiB2) is investigated. The Al2O3 content is fixed at 5wt%, while the variation in TiB2 content is considered as one of the parameters. The preparation of AA5086/Al2O3/TiB2 hybrid nano composite is carried out using the stir casting technique. To formulate the experimental design, response surface methodology (RSM) is employed, and four factors at three levels are selected using the Box Behnken design. The chosen process parameters include reinforcement wt% (5%, 7.5%, 10%), load (30N, 40N, 50N), sliding speed (500rpm, 600rpm, 700rpm), and sliding distance (400m, 450m, 500m).The results indicate that the highest wear rate of 0.09876 mm3/Nm is observed when using a load of 50N, sliding speed of 500 rpm, sliding distance of 400m, and a reinforcement content of 5%.An analysis of variance (ANOVA) is performed to determine the significance of each factor on the wear rate. According to the ANOVA results, it is found that load is the most critical factor contributing to the increase in wear rate, followed by sliding distance, sliding speed, and reinforcement content.
Key words: Wear test / Al alloy / Reinforcements / RSM technique and ANOVA
© The Authors, published by EDP Sciences, 2024
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