The problem of cutting difficult-to-machine materials used in the aerospace
industry, aircraft industry, and automobile industry, led to the
development and application one of today?s most attractive technology for
contour cutting - abrasive water jet cutting. For the efficient use of
abrasive water jet cutting, it is of great importance to analyze the impact
of process parameters on performance indicators, such as cutting quality,
productivity, and costs. But also, from the energy utilization point of
view, it is very important to analyze the impact of these parameters on the
specific cutting energy which represents the amount of energy spent on the
removal of material in the unit time. Having this in mind, this study
presents the experimental results of abrasive water jet cutting of aluminum
alloy with the aim of creating a mathematical model for estimating specific
cutting energy as an important indicator of the degree of utilization of
the available energy in the cutting process. The mathematical model of the
specific cutting energy is explicitly represented as a non-linear function
of the process parameters, obtained by the artificial neural network.
Analysis and modeling of the effects of process parameters on specific cutting energy in abrasive water jet cutting
