Investigation of High-Temperature Wear Behaviour of AA 2618-Nano Si3N4 Composites Using Statistical Techniques

• Published in: Journal of nanomaterials 2022, Vol.2022
• Main Authors: George, Santhi M., Gacem, Amel, Kistan, A., Ashick, R. Mohammed, Rao, L. Malleswara, Rajput, Vinod Singh, Nagabooshanam, N., Refat, Moamen S., Alsuhaibani, Amnah Mohammed, Christopher, David
• Format: Article
• Language: English
• Subjects: Alloys; Aluminum base alloys; Aluminum matrix composites; Composite materials; Delamination; Grain size; Heat conductivity; High temperature; Hot pressing; Interfacial bonding; Load; Mechanical properties; Nanoparticles; Powder metallurgy; Silicon; Silicon nitride; Statistical analysis; Taguchi methods; Temperature; Tribology; Vacuum distillation; Variance analysis; Wear mechanisms; Wear rate; Wear resistance
• ISSN: 1687-4110; 1687-4129
• DOI: 10.1155/2022/3449903

The wear behaviour of hot pressed AA 2618 aluminium alloy matrix composites reinforced through nano Si3N4 elements (1 percent and 2 percent) has been investigated in this paper. Temperatures of 50°C, 150°C, and 250°C were used to examine the tribological characteristics of the models under a range of loads and pressures. The best wear performance was found in AA 2618/2wt percent Si3N4. Under a load of 30 N and temperature of 250°C, it was discovered that Si3N4-enriched AA 2618 alloy was 35.7% more wear-resistant than unreinforced AA 2618 alloy. Metal flow and plain delamination were the most common wear mechanisms at higher temperatures. Delamination is the most common wear mechanism at temperatures between 50 and 250 degrees Celsius. In the analysis of variance, the wear rate was influenced by temperature, load, and the presence of Si3N4 by 47.2%. In order to predict the wear rate, regression equations (linear and nonlinear) were developed by Taguchi method. Using a high determination coefficient, the nonlinear regression was the preeminent success rate (92.8 percent).