Optimization of Abrasive Waterjet Cutting by Using the CODAS Method with Regard to Interdependent Processing Parameters

The paper shows performance optimization effects of steel machining by abrasive water jet (AWJ). An innovative combinative distance-based assessment method (CODAS) is implemented for the cutting parameters like pump pressure, feed rate, and flow rate over depth, cut kerf surface roughness. CODAS algorithm among those based on measuring distance between a scenario (in this case processing in terms quality indicators) - certain benchmark. A benchmark specific hypothetical set devised or determined from available data. To determine best process control parameters, approach was performed with some weighting determinations. initial weights, it proposed to calculate entropy weight (EWM), that measures output value dispersion process. This technique simplifies multiple compound responses preserving single response.