Determination of cutting tool vibration level using wavelet decomposition and haralic features in surface image of work piece

One of the main obstacles of productivity in metal cutting processes is cutting tool vibration. The vibration in metal cutting leads to unsatisfactory surface finishes and poor dimensional quality. The cutting tool vibration also diminishes the useful life of the cutting tool and machine tool’s bearings, spindle, motors, servos and the related components. This paper proposes a method based on wavelet transform and haralic texture features to determine the vibration level in metal cutting. Wavelet Transform is used to filter the effect of cutting tool vibration from other sources (e.g. feed marks, tool wear and surface defects) affecting the workpiece surface. The texture of filtered image in turn is analyzed using haralic features. The vibration level of the cutting tool is controlled by increasing the overhang of the tool and the subsequent irregularity of surface texture is introduced as a criterion to determine the cutting tool vibration. In order to validate the proposed vision based method, an accelerometer was attached to the shank of the cutting tool to measure the vibration in tangential direction.