Displacement compensation method for in-situ observation of micro orthogonal cutting process

In-situ observation and Digital Image Correlation (DIC) analysis have gradually been widely used in the analysis of plastic deformation in metal cutting processes and become a major means of material deformation analysis due to the intuitive and accurate process of measurement and analysis. In order to meet the demand of obtaining a large observation field and making the displacement field analysis results clear and intuitive when analyzing metal micro orthogonal cutting in-situ microscopy, we propose an improved image size compression matching algorithm to detect and compensate for the displacement deviation between image sequences, and transform the cutting condition from the workpiece to the tool to conduct the feed motion. In comparing with the normalized product correlation matching algorithm, it is concluded that the proposed image size compression matching algorithm can significantly improve the execution efficiency and achieve high search accuracy at the same time. Finally, two images are extracted from the image sequence, and the displacement deviation compensation and DIC analysis of the displacement field in the deformation zone are performed. It is concluded that the compensation method in this paper can effectively compensate for the displacement deviation caused by the feed motion of the workpiece and the vibration in the external environment, and make the relative motion trend between the sample materials in the deformation zone displacement field analysis more intuitive.