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VIBRATION ANALYSIS OF CNC PLASMA CUTTING MACHINE
This research investigates the vibration behavior of a CNC Plasma Cutting machine as part of a predictive maintenance approach. The study focuses on the influence of three process parameters: pressure, current, and cutting speed, with vibration RMS and acceleration (a(g)) as the measured responses. Vibration data were collected using a Vibration Analyzer and Bearing Defender. The results were analyzed through descriptive statistics, 3D surface plots, and multi-response optimization using the desirability function method. Findings indicate that pressure has the most significant impact on increasing vibration levels, while higher current tends to reduce fluctuations and stabilize the system. Cutting speed presents a non-linear effect, where excessive speed leads to increased vibration, and moderate speed results in lower vibration levels. Among 20 experimental combinations, the optimal configuration was found at 5.016 bar pressure, 72.838 A current, and 520.944 mm/min cutting speed. This combination yielded an RMS value of 0.282 mm/s and acceleration of 0.023 m/s², achieving a desirability score of 0.618. The study concludes that vibration analysis is a reliable method for monitoring CNC plasma cutting machine conditions, providing insight into early-stage mechanical failures and supporting data-driven maintenance decisions. By identifying the optimal process parameters, this research contributes to improving operational stability and efficiency in CNC cutting systems.
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