A grey relational-Taguchi analysis on high-speed milling of duplex and super duplex stainless steels used in chemical tankers

This study focuses on optimizing the high-speed dry end milling process for Duplex Stainless Steel (DSS 2205) and Super Duplex Stainless Steel (SDSS 2507), materials essential for chemical tankers due to their superior corrosion resistance but challenging machinability. The study employs Taguchi-Grey Relational Analysis (GRA) to investigate how different machining parameters affect surface roughness, cutting temperature, and force in these steels. Using an L27 Orthogonal Array design and analysed via MINITAB-19, the research identifies the optimal cutting conditions. The findings highlight that the depth of cut significantly influences machining outcomes, accounting for 47.67% in DSS 2205 and 46.82% in SDSS 2507, respectively. ANOVA results show spindle speed has a relatively smaller effect. SDSS 2507, due to its greater hardness exhibits superior performance under the tested conditions. The optimal combination of parameters, determined through GRA, includes a spindle speed of 4200 rpm, a feed rate of 50 mm/min, and a depth of cut of 0.35 mm. These optimized conditions closely align with the experimental predictions, confirming their practical application in the machining of DSS and SDSS steels. The study’s findings provide actionable insights into improving the efficiency and quality of machining for these materials, particularly in the context of chemical tanker manufacturing.