Effect of grey relational optimization of process parameters on surface and tribological characteristics of annealed AISI P20 tool steel machined using wire EDM

Abstract To increase the productivity and quality of machined components, wire electro-discharge machine parameters such as cutting speed, kerf width, surface roughness are often optimized. The Wire-electro discharge machining process generates a much higher temperature at wire-work piece interface which can potentially change metallurgical characteristics surface. This paper studies changes in tribology sub-surface workpiece due to initial optimized wire-electro parametric setting using grey relational analysis while sub-cooled AISI P20 tool steel. It is concluded that optimum obtain better analysis, improves component, also produces thicker recast layer. wear test revealed with an gives resistance. Detailed scanning electron microscopy explains layer micro-hardness hardenability steel, result martensitic transformation through rapid cooling, formed heat affected zone, oxygen content on proved helps improving resistivity methodology hardening strengthen application components.