Evaluation of Wear Model Equations Through Analysis of Experimental Wear Data of Materials from Literature

Understanding the correlation between material characteristics and wear behavior helps in the development and manufacturing of high-quality materials for components subjected to wear, like brake pads, bearings etc. The majority of published research papers present experimental data from pin-on-disc experiments in which wear volume loss is measured using wear rate and sliding distance. However, in many publications pin on disc experimental data is interpreted by statistical methods like Taguchi method to understand the effect of material characteristics on wear behavior. This method indirectly correlates wear behavior to material parameters like hardness, modulus of elasticity and toughness of the material. However, many mathematical models are proposed in literature to directly relate material characteristics to wear behavior. However, there are gaps in published literature in interpretation of experimental data with mathematical model equations. The mathematical models like Archard model, Evans and Wilshaw model, Kato model etc proposed in literature are defined to link material characteristics like modulus of elasticity, hardness, toughness etc to wear behavior. In this study, it is proposed a methodology to interpret the pin on disc experimental wear data by fitting an analytical model to understand effect of material characteristics on wear behavior of materials.