Cargando…

A framework from point clouds to workpieces

Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes point clouds to workpieces and consists of a mesh generation from geometric data, optimal sur...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Li-Yong, Wang, Meng-Xing, Ma, Hong-Yu, Feng, Yi-Fei, Yuan, Chun-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395558/
https://www.ncbi.nlm.nih.gov/pubmed/35995889
http://dx.doi.org/10.1186/s42492-022-00117-0
_version_ 1784771720890023936
author Shen, Li-Yong
Wang, Meng-Xing
Ma, Hong-Yu
Feng, Yi-Fei
Yuan, Chun-Ming
author_facet Shen, Li-Yong
Wang, Meng-Xing
Ma, Hong-Yu
Feng, Yi-Fei
Yuan, Chun-Ming
author_sort Shen, Li-Yong
collection PubMed
description Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes point clouds to workpieces and consists of a mesh generation from geometric data, optimal surface segmentation for CNC, and tool path planning with a certified scallop height. The latest methods were introduced into the mesh generation with implicit geometric regularization and total generalized variation. Once the mesh model was obtained, a fast and robust optimal surface segmentation method is provided by establishing a weighted graph and searching for the minimum spanning tree of the graph for extraordinary points. This method is easy to implement, and the number of segmented patches can be controlled while preserving the sharp features of the workpiece. Finally, a contour parallel tool-path with a confined scallop height is generated on each patch based on B-spline fitting. Experimental results show that the proposed framework is effective and robust.
format Online
Article
Text
id pubmed-9395558
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer Nature Singapore
record_format MEDLINE/PubMed
spelling pubmed-93955582022-08-24 A framework from point clouds to workpieces Shen, Li-Yong Wang, Meng-Xing Ma, Hong-Yu Feng, Yi-Fei Yuan, Chun-Ming Vis Comput Ind Biomed Art Original Article Combining computer-aided design and computer numerical control (CNC) with global technical connections have become interesting topics in the manufacturing industry. A framework was implemented that includes point clouds to workpieces and consists of a mesh generation from geometric data, optimal surface segmentation for CNC, and tool path planning with a certified scallop height. The latest methods were introduced into the mesh generation with implicit geometric regularization and total generalized variation. Once the mesh model was obtained, a fast and robust optimal surface segmentation method is provided by establishing a weighted graph and searching for the minimum spanning tree of the graph for extraordinary points. This method is easy to implement, and the number of segmented patches can be controlled while preserving the sharp features of the workpiece. Finally, a contour parallel tool-path with a confined scallop height is generated on each patch based on B-spline fitting. Experimental results show that the proposed framework is effective and robust. Springer Nature Singapore 2022-08-23 /pmc/articles/PMC9395558/ /pubmed/35995889 http://dx.doi.org/10.1186/s42492-022-00117-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Shen, Li-Yong
Wang, Meng-Xing
Ma, Hong-Yu
Feng, Yi-Fei
Yuan, Chun-Ming
A framework from point clouds to workpieces
title A framework from point clouds to workpieces
title_full A framework from point clouds to workpieces
title_fullStr A framework from point clouds to workpieces
title_full_unstemmed A framework from point clouds to workpieces
title_short A framework from point clouds to workpieces
title_sort framework from point clouds to workpieces
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395558/
https://www.ncbi.nlm.nih.gov/pubmed/35995889
http://dx.doi.org/10.1186/s42492-022-00117-0
work_keys_str_mv AT shenliyong aframeworkfrompointcloudstoworkpieces
AT wangmengxing aframeworkfrompointcloudstoworkpieces
AT mahongyu aframeworkfrompointcloudstoworkpieces
AT fengyifei aframeworkfrompointcloudstoworkpieces
AT yuanchunming aframeworkfrompointcloudstoworkpieces
AT shenliyong frameworkfrompointcloudstoworkpieces
AT wangmengxing frameworkfrompointcloudstoworkpieces
AT mahongyu frameworkfrompointcloudstoworkpieces
AT fengyifei frameworkfrompointcloudstoworkpieces
AT yuanchunming frameworkfrompointcloudstoworkpieces