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Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot

Automated tool trajectory planning for spray-painting robots is still a challenging problem, especially for a large free-form surface. A grid approximation of a free-form surface is adopted in CAD modeling in this paper. A free-form surface model is approximated by a set of flat patches. We describe...

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Detalles Bibliográficos
Autores principales: Tang, Yang, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436337/
https://www.ncbi.nlm.nih.gov/pubmed/25993663
http://dx.doi.org/10.1371/journal.pone.0127139
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author Tang, Yang
Chen, Wei
author_facet Tang, Yang
Chen, Wei
author_sort Tang, Yang
collection PubMed
description Automated tool trajectory planning for spray-painting robots is still a challenging problem, especially for a large free-form surface. A grid approximation of a free-form surface is adopted in CAD modeling in this paper. A free-form surface model is approximated by a set of flat patches. We describe here an efficient and flexible tool trajectory optimization scheme using T-Bézier curves calculated in a new way from trigonometrical bases. The distance between the spray gun and the free-form surface along the normal vector is varied. Automotive body parts, which are large free-form surfaces, are used to test the scheme. The experimental results show that the trajectory planning algorithm achieves satisfactory performance. This algorithm can also be extended to other applications.
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spelling pubmed-44363372015-05-27 Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot Tang, Yang Chen, Wei PLoS One Research Article Automated tool trajectory planning for spray-painting robots is still a challenging problem, especially for a large free-form surface. A grid approximation of a free-form surface is adopted in CAD modeling in this paper. A free-form surface model is approximated by a set of flat patches. We describe here an efficient and flexible tool trajectory optimization scheme using T-Bézier curves calculated in a new way from trigonometrical bases. The distance between the spray gun and the free-form surface along the normal vector is varied. Automotive body parts, which are large free-form surfaces, are used to test the scheme. The experimental results show that the trajectory planning algorithm achieves satisfactory performance. This algorithm can also be extended to other applications. Public Library of Science 2015-05-18 /pmc/articles/PMC4436337/ /pubmed/25993663 http://dx.doi.org/10.1371/journal.pone.0127139 Text en © 2015 Tang, Chen http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tang, Yang
Chen, Wei
Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title_full Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title_fullStr Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title_full_unstemmed Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title_short Surface Modeling of Workpiece and Tool Trajectory Planning for Spray Painting Robot
title_sort surface modeling of workpiece and tool trajectory planning for spray painting robot
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4436337/
https://www.ncbi.nlm.nih.gov/pubmed/25993663
http://dx.doi.org/10.1371/journal.pone.0127139
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