Experimental Investigation and Multi-Response Optimization of Machinability of AA5005H34 Using Composite Desirability Coupled with PCA

Minimum quantity lubricant (MQL) is an advanced technique in machining to achieve sustainability, productivity, higher precision, economic benefits, and a reduction carbon footprints. The present research work aims investigate the effect of cutting process parameters end milling AA5005H34 material under dry MQL environments. key performance indicators include surface roughness profile, removal rate, tool wear. Surface are measured with help Mitutoyo tester, wear according ISO 8688-2:1989 standard using scanning electron microscope (SEM). Sixteen experiments designed based on Taguchi orthogonal array mixture design. Single responses optimized signal noise ratios, while for multi-response optimization composite desirability function coupled principal component analysis applied. Analysis variance (ANOVA) results revealed that feed rate followed by spindle speed, axial depth cut, width environment most significant factors contributing obtained as speed 3000 rev/min, 350 mm/min, cut 2 mm, 6 mm environment.