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Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing
In triangular mesh models, the repair of complex hole poses a difficult problem, which always causes serious repair defects. Therefore, it is needed to develop an intelligent identification and classification method of complex holes to reduce repair difficulties. First, the topological structure of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173961/ https://www.ncbi.nlm.nih.gov/pubmed/35685141 http://dx.doi.org/10.1155/2022/2249925 |
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author | Zhang, Shanhui Wei, Wei Wu, Wei |
author_facet | Zhang, Shanhui Wei, Wei Wu, Wei |
author_sort | Zhang, Shanhui |
collection | PubMed |
description | In triangular mesh models, the repair of complex hole poses a difficult problem, which always causes serious repair defects. Therefore, it is needed to develop an intelligent identification and classification method of complex holes to reduce repair difficulties. First, the topological structure of the complex hole is studied and all the holes are divided into single holes and continuous holes depending on whether there are intersection points. Second, to tackle the nesting and connecting of complex continuous holes, a decomposition method of multiply connected domains based on intersection points is proposed to partition or reconstruct complex continuous holes into single holes. Based on the different geometric structures, single holes are classified into five common hole types and a corresponding identification method of single holes is presented. Finally, an experiment is carried out to verify the repair quality and efficiency of the proposed method. Compared with Geomagic software, the proposed method can automatically identify and partition complex holes with fewer defects and similar efficiency. It can reduce the difficulties of repairing complex holes and enable the repair of complex holes based on existing methods. It is shown that the method can be applied to complex hole repair of 3D printing models without the participation of technicians. |
format | Online Article Text |
id | pubmed-9173961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91739612022-06-08 Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing Zhang, Shanhui Wei, Wei Wu, Wei Comput Intell Neurosci Research Article In triangular mesh models, the repair of complex hole poses a difficult problem, which always causes serious repair defects. Therefore, it is needed to develop an intelligent identification and classification method of complex holes to reduce repair difficulties. First, the topological structure of the complex hole is studied and all the holes are divided into single holes and continuous holes depending on whether there are intersection points. Second, to tackle the nesting and connecting of complex continuous holes, a decomposition method of multiply connected domains based on intersection points is proposed to partition or reconstruct complex continuous holes into single holes. Based on the different geometric structures, single holes are classified into five common hole types and a corresponding identification method of single holes is presented. Finally, an experiment is carried out to verify the repair quality and efficiency of the proposed method. Compared with Geomagic software, the proposed method can automatically identify and partition complex holes with fewer defects and similar efficiency. It can reduce the difficulties of repairing complex holes and enable the repair of complex holes based on existing methods. It is shown that the method can be applied to complex hole repair of 3D printing models without the participation of technicians. Hindawi 2022-05-31 /pmc/articles/PMC9173961/ /pubmed/35685141 http://dx.doi.org/10.1155/2022/2249925 Text en Copyright © 2022 Shanhui Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Shanhui Wei, Wei Wu, Wei Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title | Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title_full | Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title_fullStr | Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title_full_unstemmed | Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title_short | Research on an Intelligent Identification and Classification Method of Complex Holes in Triangle Meshes for 3D Printing |
title_sort | research on an intelligent identification and classification method of complex holes in triangle meshes for 3d printing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9173961/ https://www.ncbi.nlm.nih.gov/pubmed/35685141 http://dx.doi.org/10.1155/2022/2249925 |
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