Application of grey-ANFIS system to optimize the drilling characteristics of nano SiC reinforced Al matrix composites

The present research examines cryogenic coolant's performance and effect on thrust force, burr height, cutting temperature, and surface finish while drilling nano SiC reinforced Al matrix composites over dry machining. The vertical computer numeric control (CNC) machining center assisted with cryogenic LN 2 coolant is used to conduct the drilling tests with a carbide drill of 10 mm having 90°, 118°, and 135° point angles. Taguchi L 18 orthogonal array is employed in planning the drilling experiments. A grey-based ANFIS algorithm was implemented to optimize drilling parameters: feed rate, spindle speed, drill point angle, and wt% of nano SiC. The reduced friction in cryogenic LN 2 resulted in lower temperature and surface roughness. After the drilling experiments, the machined surface is further investigated through a scanning electron microscope (SEM). This investigation revealed that applying cryogenic LN2 coolant in drilling Al matrix composites reinforced with SiC nanoparticles is an alternate method to enhance the drilling performance.