Applying the DEAR Method to Optimize Multi-objective Process on a Conventional Lathe with New Cutting Tools
摘要
A recent study has optimized the turning process by conducting nine experiments on a manual lathe, using a new type of cutting tool called megacoat nano plus PR1725/PR1705 coated insert, with experimental material being 20Cr steel. Each experiment adjusted three different parameters including spindle speed, feed rate, and cutting depth. Three responses measured were surface roughness, tool wear, and material removal rate. The DEAR (Data Envelopment Analysis-based Ranking) method was applied for multi-objective optimization. Results reveal that to achieve the best performance with low surface roughness and tool wear, along with high material removal rate, the spindle speed, feed rate, and cutting depth are 530 (rev/min), 0.112 (mm/rev), and 0.3 (mm) respectively.