PSO Based Improved Surface Roughness Measuring Approach of Manufactured Product Within CP Factory Using T6 6068 Aluminium

Abstract

This paper presents a methodology to obtain improved quality of surface roughness during production of mobile case cover inside a cyberphysical (CP) factory using micro-CNC end milling with aluminium alloy T6 (6068). The said machining is done with different machining parameters such as cutting velocity, spindle speed and cut depth. Three profile parameters (Ra, Rz and Rzmax) are projected as response variables. Thereafter, Taguchi’s orthogonal array design is considered with smaller-is-better signal-to-noise ratio, and linear regression is performed to get optimal process parameter settings combination. This result is further verified using a particle swarm optimization (PSO) technique, and validation is done on CNC machining centre.