This work confers to the preparation of Magnesium metal matrix composites reinforced with Lanthanum Hexa-aluminate nanoparticles by a stir casting technique and the tribological characteristics of the composites in dry condition were investigated. A Comparison is also made with AZ91E magnesium alloy and the prepared composites for the assessment of wear behavior. A design of experiments based on the Taguchi technique is used to collect data in a controlled manner. A L25 orthogonal array is used to investigate the effect of wear parameters such as Percentage of Reinforcement, Sliding Speed, Applied Load, and Sliding Distance on dry sliding wear of composites. The aim of the model was to investigate dry sliding wear with "smaller is better" characteristics. The results showed that sliding distance has the largest effect on wear, while the load is the most important factor in friction response. In GRA analysis, the combined effect of wear and frictional force is considered and the optimum combination is identified (S5 L1 D1 R4). The percent of the contribution of load, L (60.97 %) was known to be the most important factor influencing performance to wear. The % reinforcement, R (31.17%) was found to be the 2nd most influencing factor, followed by sliding distance, D (4.81%), and sliding velocity S (0.25%). The worn surfaces of fabricated composites in the best and worst conditions were examined using scanning electron microscopy for understanding the wear mechanism.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.