Multi objective optimization of cutting parameters of end milling operation by Taguchi Grey: Relational analysis (TGRA)

This study proposes an ideal milling process parameter setup for multi-responses. Due of this problem, Grey relational analysis with Taguchi approach is used. These approaches helped determine ideal machining conditions to improve surface roughness, material removal rate, cutting force, and tool wear. Compare results from wet and minimal amount lubrication studies. Further multiple flow rates of Minimum Quantity Lubrication were tested to find the “best” setting. The best gray relational analysis setting is used in tests with varied minimal Quantity Lubrication flow rates. ANOVA for MPCI showed that depth of cut affects several performance factors the most, followed by spindle speed, feed, tool diameter, and tool type. The response table and S/N ratio main effect plot show that 1500 rpm spindle speed, 0.5 mm depth of cut, 550 mm/min feed, 12 mm end mill cutter with coated (PVD), and minimal amount lubrication are the ideal machining settings. After experimenting with minimum amount lubricating flow rates, 80 ml/hr is the ideal setting. Finally, experimentation tests conformance.