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 and the Vickers hardness is improved by 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. | Optimization of compressed air-assisted turning-burnishing process for improving roughness and hardness
