Optimizing sustainable machining for magnesium alloys: a comparative study of GRA and TOPSIS

Abstract

This study delves into a comparative analysis of two multi-criteria decision analysis methods, Grey Relational Analysis (GRA) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), to fine-tune sustainable machining parameters for AZ31 magnesium alloy. In the realm of straight cutting, TOPSIS reveals an optimal configuration, featuring a spindle speed of 1000 rpm, a feedrate of 375 mm/s, and a depth of cut at 0.5 mm. Conversely, GRA prescribes a different setup: spindle speed at 1000 rpm, feedrate at 1900 mm/s, and depth of cut at 2 mm. In the context of angular cutting, TOPSIS suggests a spindle speed of 1000 rpm, a feedrate of 375 mm/s, and a depth of cut at 0.5 mm, while GRA advocates a spindle speed of 1100 rpm, a feedrate of 1900 mm/s, and a depth of cut at 0.5 mm. A closer look reveals that the Sustainability Assessment Index (SAI) signals that GRA delivers superior sustainability outcomes across both cutting modes. These findings present invaluable insights into the optimization of sustainable machining processes, providing decision-makers with the tools to select the most appropriate approach for their unique requirements. The horizon of future research could expand to include additional parameters and materials, further enriching the tapestry of sustainable machining practices.