Multi-objective Optimization of Process Performances when Cutting Carbon Steel with Abrasive Water Jet

Multi-objective optimization of process performances (perpendicularity deviation, surface roughness and productivity) when cutting carbon steel EN S235 with abrasive water jet is presented in this paper. Cutting factors (abrasive flow rate, traverse rate and standoff distance) were determined when perpendicularity deviation and surface roughness are minimal and productivity is maximal. Multi-objective genetic algorithm (MOGA) was used for the determination set of nondominated optimal points, known as Pareto front.