Mechanical and Sliding Wear Performance of ZA27-Gr Alloy Composites for Bearing Applications: Analysis Using Preference Selection Index Method

In this chapter, the sliding wearSliding wear and mechanicalMechanical performancePerformance of Gr -ZA-27 alloyZA-27 alloy compositesAlloy composites are investigated following ASTM standards. Taguchi methodologyTaguchi methodology is used in designing sliding wearSliding wear experiments, and the same methodology is used for parametric optimizationOptimization. In order to comprehend the associated wear mechanismsWear mechanisms responsible for surface damageSurface damage, surface micrograph studies employing scanning electron microscopy (SEMScanning electron microscopy (SEM)) are conducted. Furthermore, the rank of designed compositions is evaluated using Preference Selection Index (PSIPreference Selection Index (PSI)), and decision-making technique. The physicalPhysical and mechanicalMechanical characteristicsCharacteristics of alloy compositesAlloy composites with reinforcementReinforcement are found to be improved, including voidVoid content (1.33–2.50), hardnessHardness (107–171 HV), compressive strengthCompressive strength (406–496 MPa), flexural strengthFlexural strength (300–490 MPa), tensile strengthTensile strength (290–428 MPa), impact strengthImpact strength (22.76–64 J), and sliding wear performanceSliding wear performance. It is found that the AGr-6 alloy compositeAGr-6 alloy composite showed to optimize the overall physicalPhysical, mechanicalMechanical, and sliding wear performanceSliding wear performance. The evaluation of performancePerformance data using the PSIPreference Selection Index (PSI) and decision-making tool reveals that the order of material composition that optimizes the required performancePerformance is AGr-6 > AGr-4 > AGr-2 > AGr-0. As both decisions are attuned, decision-making technologies like PSIPreference Selection Index (PSI) can be applied to these challenges of material selection.