Vibration monitoring of ball nose end mill tool during milling of sculptured surfaces using MUP6050 sensor

Abstract

Optimization of parameters like tool path, cutter geometry, feed rate optimization, tool path and feed rate integration for sculptured surface machining has been an active research zone. The next step is to investigate the effect of vibration in ball end mill tool during milling machining of the sculptured surface. Milling machining process which is characterized by interrupted cutting, the problems of vibration occur in the machine-tool-work piece fixation device. In this work, experimental measurement of time domain signals amplitude of vibration (Acceleration) using Arduino Uno (microcontroller board) with MPU6050 (MEMS accelerometer) during machining of the surface of a selected sculpture is performed. These signals are then used to calculate the frequency of acquired signals using NI DIAdem software. The study shows the optimum values of different parameters under consideration. Such an analysis can also be helpful in fault diagnosis of CNC milling machine parts of sculptured surfaces. The investigations indication that feed is the most governing factor affecting the surface texture, and the cutting speed is the key factor affecting tool vibrations amplitudes. The results of experimental investigations are in agreement with the mathematical model generated using.