Optimizing turning parameters in the machining of AM alloy using Taguchi methodology

Magnesium alloys are widely used in different engineering sectors due to their lightweight, high stiffness, and damping properties. However, there are challenges with machining these alloys because of their mechanical properties and inflammability. In this study, a newly developed Aluminum-Manganese (AM) series Mg alloy was subjected to a turning operation for ascertaining machinability. Taguchi method has been applied with L9 array for control factors of turning including feed (f), speed (v), and depth of cut (DOC). For each control factor, three levels have been identified and used for the experiments. The values of two selected response variables namely cutting force and surface roughness were recorded. Signal-to-noise ratio were calculated for the response variables. Subsequently, variance analysis was performed to confirm the outcomes. The calculated statistical parameters highlighted that DOC has the maximum effect on the cutting force, and feed has the maximum influence on the roughness.

Automated summary

Magnesium alloys are widely used in engineering sectors for their lightweight, stiffness, and damping properties. However, machining these alloys poses challenges due to their mechanical properties and inflammability. In this study, a newly developed Aluminum-Manganese (AM) series Mg alloy was subjected to turning operation, with control factors including feed, speed, and depth of cut. Statistical analysis revealed that depth of cut has the greatest impact on cutting force, while feed has the greatest influence on surface roughness.