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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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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 |
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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 |
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