Dimension measurement method of ring forgings based on laser scanning and multiple regression filtering algorithm

Abstract

In order to detect the radial is characterized and the isolated points that deviate from the target point cloud are removed using statistical section dimensions of ring parts in the forging process, we present a new method that processes laser scanning data of the outer radial section profile of ring forgings. Based on regression analysis and point cloud filtering, a multiple regression filtering algorithm is proposed to process the point cloud data for the measurement of the outer diameter of ring forgings. First, the laser scanned point cloud data filtering methods. The outlier clusters are then removed using regression analysis and processed by Gaussian regression filtering algorithms to obtain point cloud data with good circularity characteristics. Next, the Least Squares principle is used to fit a circle to the processed data to obtain information on the external diameter of the ring forgings to be measured. Finally, the feasibility of the method is verified by measuring the outer dimensions of the elliptical ring forgings in the experiment and performing error analysis.

Measurement method of spherical radius size of differential planetary gear tooth surface based on 3D vision

“…By fitting the plane with the least square method, the projection plane is introduced after the 3D reconstruction of the discrete points in the workpiece contour, which limits the coordinate fluctuation of the discrete points and realizes the accurate measurement of the workpiece size. Lu et al [13] used regression analysis to remove outlier clusters, and processed by Gaussian regression filtering algorithm to obtain point cloud data with good roundness characteristics. The least squares principle was used to fit the processed data, and the size measurement of the outer diameter of the ring forging to be measured was realized.…”