OPTIMIZATION OF COMPRESSED AIR-ASSISTED TURNING-BURNISHING PROCESS FOR IMPROVING ROUGHNESS AND HARDNESS

Abstract

A hybrid process combining the turning-burnishing operation is a prominent solution to improve
productivity due to the reduction in the auxiliary time. The objective presents a parameter-based optimization
of the compressed air-assisted turning-burnishing (CATB) process to enhance the Vickers hardness (HN) and
decrease the roughness (SR). The inputs are the cutting speed (V), depth of cut (a), feed rate (f), and ball
diameter (D). A turning machine was used in conjunction with the turning-burnishing device to perform the
experimental runs for aluminum 6061. The response surface method (RSM) was applied to render the
correlations between the inputs and performances measured. The multi-objective particle swarm optimization
(MOPSO) is used to select the optimal factors. The results revealed that machining targets are primarily
affected by feed, speed, and depth. The roughness is reduced by 36.84% and the Vickers hardness is improved
by 17.51% at the optimal solution, as compared to the general process. The obtained outcome is expected as a
technical solution to make the CATB process become more efficient.