Grey based multi-objective optimization of machining performance in boring of aluminium alloy 6061 through piezoelectric shunt damping

Abstract Chatter instability contributes to the poor texture of the surface, abridged tool life, and productivity. In orthogonal cutting, chatter decreases with an increase in damping which consequently increases stability limits. This work addresses the chatter reduction by employing piezoelectric transducers on the overhang length of a boring bar with a shunt circuit. The stability of the boring process is significantly affected by the function of frequency retort on the cutting edge. Cutting tests are performed by selecting vibration amplitude, average surface roughness as response parameters and machining characteristics are evaluated by piezoelectric shunt dynamic response. It is experimentally concluded that, compared to the no damping condition, mean vibrational amplitude and surface roughness decreases considerably using piezoelectric damping. Grey relational methodology has been utilized for multi-attribute decision-making for depicting the optimal internal turning parameters.