Abstract
This paper discusses a system designed to process parameter settings for achieving optimum cutting quality by a Computer Numerical Control (CNC) Plasma Machine, employing the Jaya algorithm. The aim is to obtain the most optimized parameter settings for the CNC Plasma Machine, focusing on the plasma cutting method applied to commonly used metals, 304 stainless steels, and S235. The investigation centres on understanding the impacts of these parameters on surface roughness (Ra) and tapper angle. The experiments, conducted using Full Factorial Design (FFD), involved mathematical prediction models developed through a regression method with three controllable levels for each parameter on 12mm S235 steel and 304 stainless steel plates. The Jaya algorithm, known for its efficiency in engineering optimization, operates on the principle of gravitating towards positive outcomes while avoiding unfavorable ones. What sets this study apart is the utilization of the Jaya algorithm, a sophisticated optimization tool that demonstrated exceptional efficiency by converging to the optimum solution within a mere 15 iterations. The Jaya algorithm’s robust performance was highlighted through a comparative analysis, positioning it as superior to alternative techniques for delivering the best optimum solution in a remarkably reduced number of iterations.
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