Morphological characterization, statistical modeling and wear behavior of AA7075-Titanium Carbide-Graphite surface composites via Friction stir processing

• DOI: 10.1016/j.jmrt.2021.02.054
• Publication Date: 2021-02-21T18:37:34Z
• Authors: Namdev Ashok Patil; Srinivasa Rao Ped...; Othman Mamat; Abdul Munir Hiday...
• Keywords: Friction Stir Processing; Titanium carbide; Abrasion (mechanical)

In this study, the wear behavior of AA7075-T6 has been significantly improved by encapsulating TiC and graphite nanoparticles using FSP. The tracks debris SEM EDX analysis confirms that prominent mechanism changed from fretting fatigue to abrasion due presence TiC/Gr mechanically mixed layer at contacting surfaces. tool rotational speed-w rpm (39%), vol% (14%), interaction effect speed hybrid ratio HR (17%) traverse v-mm/min (23%) observed be most influential factors. lowest rate was for Run 19 surface composite produced lower rotational, speeds with higher volume percentage weight 60:40. ranges parameters hold suitable retaining inherent precipitates along dispersion graphitized-TiC particles have traced successfully, prediction equation is defined. Subsequently, it validated through confirmation results. predicted experimental values showed a good association. isomorphous dissolution excessive intense plasticization confirmed FESEM analysis. interfacial bonding TiC/graphite base alloy matrix found necessary condition in controlling rate. composites processed stirring resulted properties since retained particles. function content inside composites.