Multiresponse Optimization for Laser-Assisted Machining of Fused Silica Using Response Surface Methodology

Fused silica is difficult to machine using conventional machining methods mainly owing to its high brittleness and strength. Laser-assisted machining (LAM) provides desirable process for machining of fused silica. It was necessary to find the optimal machining condition during the LAM process. In this study, the regression models of the surface roughness and cutting force have been developed using Response Surface Methodology (RSM). Multiresponse optimization and composite desirability method were used to determine the optimum machining parameters. The experimental confirmed that the percentage errors of the regression models were within the permissible limits. It was also found that the high value of pulse duty ratio of laser corresponding to a better machining performance in the LAM of fused silica.