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Adaptive layering method based on the scattered point cloud model
Published:2020-03-31
author:WANG Chun-xiang, WANG Yan-hui, ZHANG Wen-jing
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Adaptive layering method based on the scattered point cloud model
WANG Chun-xiang, WANG Yan-hui, ZHANG Wen-jing
(School of Mechanical Engineering,Inner Mongolia University of Science and Technology, Baotou 014010, China)
Abstract: Aiming at the problem of stratification efficiency and molding precision in the layering process,an adaptive layering algorithm based on the change of point cloud distance was proposed through the analysis of existing layering algorithms. The study of initial layering thickness determination, data compaction and contour fitting in the process of layering. Based on the scattered point cloud model, the maximum distance was screened by calculating the distance between each line segment and the nearest point in each section. The change rate of the maximum distance between two adjacent layers was calculated, and it was compared with the set threshold value to automatically adjust the thickness of the layers. The validity of the algorithm was verified by the layering experiment of the point cloud model of bucket teeth. The experimental results indicate that the algorithm can balance the relationship between the layering efficiency and the forming accuracy to a certain extent, and it is suitable for the layering of high precision and complex profile models.
Key words: stratification efficiency; forming accuracy; point cloud model; maximum distance; adaptive layering
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