Study On Effect of Boron Carbide, Aluminium Oxide and Graphite On Dry Sliding Wear Behaviour of Aluminium Based Metal Matrix Composite at Different Temperature

Authors

• Sharath BN MCE haasan
• Venkatesh C V Malnad College of Engineering, Hassan

DOI: https://doi.org/10.30678/fjt.99931

Keywords:

Metal matrix composites, Artificial neural network, Oxide layer, Worn surface

Abstract

The present research has been conducted to study the impact of boron carbide (B₄C), aluminium oxide(Al₂O₃) and graphite on Aluminium 2219 (Al2219). According to current research, B₄C and graphite material be a good substitute for Al2219.Reinforced composites and unreinforced Al2219 prepared by a stir casting process. A scanning electron microscope was used to analyze the reinforcement and distribution in the matrix and worn surface of the specimen. Exceptional wear resistance (30%) exhibited by  B₄C and graphite-reinforced hybrid composite at 150 ºC in contrast with the unreinforced Al2219. The B₄C and Gr reinforcement particulate existence improves the strengthening kinetics in the matrix phase at 150 °C. The artificial neural network used to get the test significance, normalized factor importance and absolute relative error of less than 1%.