Performance improvement of Cryo treated insert on turning studies of AISI 1018 steel using Multi objective optimization
K. Arunkarthikeyan, K. Balamurugan
Abstract
The present investigation tends to issues, like low efficiency, higher tooling cost, and issues with ordinary machining strategies while machining of AISI 1018 steel. In addition, optimization was performed for predicting the multi responses which are intricate in manufacturing cost. Cryo treatment on cutting tools is an efficient machining technique to improve machining performances of the tool materials. In the present study, Deep cryo treated tungsten carbide (WC-Co) inserts in dry turning operation was conducted according to Taguchi's L9 OA for 3 factors and 3 levels, Tool Wear Rate (TWR) and Surface roughness (Ra) as the output responses. Taguchi incorporated Multi response Grey Relational Analysis (MRGRA) has been followed to optimize the machining parameters during turning of AISI 1018 steel respectively. The acquired outcomes showed that improved performance was found from the MRGRA after validating the optimized condition. Furthermore, the ANOVA and regression model was developed and an interaction effect of cutting parameters was analyzed through 3D surface plots.