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Conference Paper: Robot trajectory integration for painting automotive parts with multiple patches

TitleRobot trajectory integration for painting automotive parts with multiple patches
Authors
Issue Date2003
Citation
Proceedings - IEEE International Conference on Robotics and Automation, 2003, v. 3, p. 3984-3989 How to Cite?
AbstractAutomatic trajectory generation for spray painting is highly desirable for today's automotive manufacturing. Generating a trajectory for a surface with only one patch is widely studied to satisfy the paint thickness constraints. However, a complex surface has to be divided into several patches to satisfy the paint thickness and paint gun orientation constraints. Trajectory generation for a surface with multiple patches has not been addressed yet. In this paper, optimization processes are developed to optimize the paint thickness on a surface which consists of several patches. Optimization results are presented. Simulations are performed to verify the optimized parameters. Verification results is consistent with the optimization results.
Persistent Identifierhttp://hdl.handle.net/10722/212775
ISSN
2023 SCImago Journal Rankings: 1.620

 

DC FieldValueLanguage
dc.contributor.authorChen, Heping-
dc.contributor.authorXi, Ning-
dc.contributor.authorWei, Zhouhua-
dc.contributor.authorChen, Yifan-
dc.contributor.authorDahl, Jeffrey-
dc.date.accessioned2015-07-28T04:04:58Z-
dc.date.available2015-07-28T04:04:58Z-
dc.date.issued2003-
dc.identifier.citationProceedings - IEEE International Conference on Robotics and Automation, 2003, v. 3, p. 3984-3989-
dc.identifier.issn1050-4729-
dc.identifier.urihttp://hdl.handle.net/10722/212775-
dc.description.abstractAutomatic trajectory generation for spray painting is highly desirable for today's automotive manufacturing. Generating a trajectory for a surface with only one patch is widely studied to satisfy the paint thickness constraints. However, a complex surface has to be divided into several patches to satisfy the paint thickness and paint gun orientation constraints. Trajectory generation for a surface with multiple patches has not been addressed yet. In this paper, optimization processes are developed to optimize the paint thickness on a surface which consists of several patches. Optimization results are presented. Simulations are performed to verify the optimized parameters. Verification results is consistent with the optimization results.-
dc.languageeng-
dc.relation.ispartofProceedings - IEEE International Conference on Robotics and Automation-
dc.titleRobot trajectory integration for painting automotive parts with multiple patches-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0344464739-
dc.identifier.volume3-
dc.identifier.spage3984-
dc.identifier.epage3989-
dc.identifier.issnl1050-4729-

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