Optimizing Tribological Performance of Laser-Induced Elliptical Textures on Nickel Aluminum Bronze Surface based on Genetic Algorithm.

Autor: Gurav, Pavankumar, Bharatish, A., Rajkumar, G. R., Murthy, H. N. Narasimha, Mohankumar, Subbaraya
Předmět:
Zdroj: Journal of Materials Engineering & Performance; May2023, Vol. 32 Issue 10, p4676-4690, 15p
Abstrakt: Improving the tribological performance of nickel aluminum bronze (NAB) is crucial for its applications such as landing gear of military aircraft composed of trunnion bearings, strut bushings, and fastenings. This paper aims at investigating the effect of laser elliptical surface textures on optimal friction and wear performance of NAB surface at dry conditions. The effect of elliptical texture density, normal load and sliding velocity on coefficient of friction and specific wear rate of NAB was analyzed based on full factorial design approach. The worn surfaces were analyzed using scanning electron microscope equipped with an energy-dispersive spectrometer. Simultaneous optimization of tribological responses of NAB was performed using genetic algorithm technique. While the minimum coefficient of friction (0.38) corresponded to intermediate texture density (30.4%), lowest load (10 N) and highest sliding velocity (2094.67 mm/s), the lowest specific wear rate (2.71 × 10–17 mm3/N-m) was found at lowest texture density (25.15%), highest load (40 N) and intermediate sliding velocity (1047.33 mm/s). The coefficient of friction and specific wear rate got significantly reduced by 83.05 and 59.29%, respectively, when compared to those of untextured NAB substrates. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index