Abstract
The paper presents the results of the optimization of high-speed Abrasive Water Jet (AWJ) machining. The complexity of the problem, conditioned by mutually opposite parameters: maximal cutting depth and minimal surface roughness is the reason for using the Response Surface Method (RSM) optimization methods. The three most influencing parameters were subjected to the process: process pressure, abrasive flow rate, and traverse speed. Based on RSM and analysis of variance, the machining model in the form of a full quadratic equation was formulated. To estimate multicollinearity, the variance inflation factor (VIF) was examined. A set of optimal control parameters was determined based on the composite desirability function. The description of the conducted research and the results of the verification were proving the high accordance of models with experimental data.
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