Self-excited vibration or chatter is the main barrier against milling process. Many techniques have been proposed in order to detect chatter during milling. However, they have some limitations in detection of chatter or using in industry.

This paper addresses if can detect chatter during milling process using image correlation. Image correlation is a method of tracking and image registration for 2D and 3D measurements of changes in images. This method is often used to measure any deformation, displacement, or define any changes during an engineering process.

At this research, Poincaré sections are plotted for milling system by reconstruction of phase space. Then, variation of Poincaré maps is measured and parameterized by image correlation technique using Pearson coefficient.

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