Gradient curved-surface layering method based on additive remanufacturing point cloud model

Abstract

The invention relates to a gradient curved-surface layering method based on an additive remanufacturing point cloud model. The method includes the following steps: (1) forming distance calculation, wherein a Euclidean distance d corresponding to a centroid point of a grid is calculated, and the distance d reflects a defect degree of a defect point cloud at the point, that is, the same is a formingdistance of needed additive remanufacturing; (2) gradient distance determination; and (3) generation of layering data, wherein in gradient layering, no really-existing layering curved-surface familyneeds to be exactly described, it is enough to carry out interpolation representation only by the layering data on all curved surfaces, the layering data include two parts of outline data and outlineinternal-data, and for layering data of an i-th layer, outline data thereof are directly recorded as data points of which a layering interval number num = i, and outline internal-data P'(x', y', z') can be obtained by adopting point clouds which are lower than a layer cutting curved-surface (num < i) and gradient distance increasing.

Description

technical field [0001] The invention relates to the technical field of additive remanufacturing engineering, in particular to a layering method based on additive remanufacturing point cloud models. Background technique [0002] At present, additive remanufacturing technology is a general term for a series of advanced technologies used to restore the defect size and service performance of damaged zero (component) parts. The process of restoring the size and performance of damaged zero (component) parts is driven by digital models. A discrete-stacking process characterized by Among them, the discrete process is a slicing and layering process whose object is the 3D model of the defective part. Whether the part model is generated in modeling software or constructed by reverse engineering, it must be layered before it can be input into the additive remanufacturing equipment, so the layering method is a key link in the additive remanufacturing process. The layering method not on...

AI Technical Summary

Problems solved by technology

The equal layer thickness layering algorithm is simple to implement and fast in program execution, but the step effect is obvious; the adaptive layering algorithm adopts the method of adaptively changing the layer thickness for layering, which effectively reduces the step effect, but cannot completely eliminate the step effect effect; the use of advanced layering algorithms such as hypotenuse layering or surface layering can completely eliminate the step effect, but it is difficult to implement in the system

At the same time, because the above-mentioned layered algorithms are all developed based on the STL model, they must go through the most complex and time-consuming surface reconstruction process in data processing, which leads to the complexity of the calculation process

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