| Summary: | In this work, an algorithm is developed to prevent time losses that occur during the calculation of Root Mean Square (RMS) of the vibration signals. Vibration signals are obtained during cutting of super alloy material Inconel 718 on a CNC lathe machine with a cutting speed of 50 meters per minute, 0.15 mm progress per revolution and 2.5 mm cutting depth. The data is loaded to the computer via the vibration sensor (353B31 from PCB Piezotronic) and the digital-analog converter card (DAQ 6062E) and then mathematical expressions are created in Matlab environment. RMS is one of the most important evaluation parameters in the evaluation of this data. Running the classical algorithm, it is observed that there was excessive time loss in the RMS calculation of total 120 million data about 60 tests, each test lasted about eight hours. So a new algorithm has been developed that can do operations much faster. The results of the new algorithm are compared with the results of the classic algorithm and it is determined that the new algorithm produces 100% correct results. 99% of the time loss is avoided with this new algorithm.
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