Gradient Surface Layering Method Based on Additive Remanufacturing Point Cloud Model

Abstract

The present invention relates to a gradient surface layering method based on additive remanufacturing point cloud model, comprising the following steps: ① forming distance calculation; calculating the Euclidean distance d of the centroid point corresponding to the grid: the distance d reflects the defect point cloud in the The degree of defect at the point, that is, the forming distance that needs to be remanufactured by additive; ②The determination of the gradient distance; ③The generation of layered data; when the gradient is layered, the real layered surface family does not need to be accurately described. It is enough to interpolate the layered data on each surface; the layered data includes two parts: contour data and contour internal data; for the layered data of the i-th layer, its contour data is directly recorded as the layered interval number num=i data points; the internal data P'(x', y', z') of the contour can be obtained by the lower layer surface (num

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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