Gauss sphere cluster based machine part reverse engineering modeling method

Abstract

The invention discloses a reverse engineering modeling method for machine part data by using Gauss sphere cluster. The method includes the steps: allowing a user to scan a machine part into a three-dimensional point cloud by using a three-dimensional scanner; automatically converting the point cloud into a grid through a grid triangularization method; and performing rough decomposition on a whole grid model through a main curvature such that each secondary curved surface of the part independently falls into a relevant sub-zone. The method performs type detection on a sub-grid through a Gauss sphere cluster method, performs zone subdividing and recombination, performs secondary curved surface fitting on each subdivided sub-grid through a nonlinear least square method and a faithful distance, and cuts and sews a curved surface model so as to establish a digital entity model of the machine part. The user can perform parameter editing or curved surface deformation on the entity model so as to innovate a reverse design of the model. The modeling method is simple and efficient, can avoid user interference, and can automatically or semi-automatically complete reverse design modeling of the machine part.

Description

technical field [0001] The invention relates to the field of computer reverse engineering modeling of mechanical parts, in particular to a Gaussian spherical clustering-based reverse engineering modeling method of mechanical parts. Background technique [0002] Quadric surfaces such as planes, spheres, cylinders, and cones are often encountered in the geometric shape design of industrial products such as mechanical parts and plastic products. An important purpose of reverse engineering is to quickly and accurately restore these characteristic surfaces. In fact, quadric surfaces in most parts do not exist independently, so the first task of quadric surface recognition is to perform region segmentation, that is, to separate the data points belonging to these characteristic surfaces from the measurement data. Quickly and accurately locating quadric surface areas in parts is an important part of reverse engineering. [0003] Region segmentation methods can be classified into tw...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the problems existing in the model reconstruction of mechanical parts with the existing reverse engineering modeling method, the technical problem solved by the present invention is: a method based on Gaussian spherical clustering is proposed to detect, finely decompose and re-aggregate the main The characteristic quadratic surface sub-region after curvature decomposition makes the division result of the mesh characteristic region quite accurate, and the accuracy of the region fitting result is extremely high. The new method makes the reverse design digital model result of the mechanical part more accurate

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