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Conference Paper: Deposition Group-based Toolpath Planning for Additive Manufacturing with Multiple Robotic Actuators

TitleDeposition Group-based Toolpath Planning for Additive Manufacturing with Multiple Robotic Actuators
Authors
KeywordsAdditive manufacturing
Multiple robotic actuators
Constraint modeling
Toolpath planning
Concurrent fabrication
Issue Date2019
PublisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.sciencedirect.com/science/journal/23519789
Citation
47th SME North American Manufacturing Research Conference (NAMRC 47), Erie, PA, 10-14 June 2019. In Procedia Manufacturing, 2019, v. 34, p. 584-593 How to Cite?
AbstractThis paper proposes a practical approach for toolpath planning of vector-based additive manufacturing (AM) processes with multiple robotic actuators. It classifies and models the operational spatial constraints of possible actuator collisions and indexes the deposition priorities of materials. The contours within each layer of a multi-material object are sorted according to material deposition priorities, material distribution on the actuators, and the spatial constraints for collision avoidance. The sorted contours are then arranged into a series of deposition groups for subsequent concurrent fabrication. The proposed approach has been incorporated into a virtual prototyping system for visualization and validation of AM processes with various types of robotic actuators. Case studies show that it can greatly improve the concurrency of material deposition, and hence reduce the build time of complex multi-material and large single-material objects substantially. It can be practically adapted for control of AM processes with multiple robotic actuators.
Persistent Identifierhttp://hdl.handle.net/10722/289721
ISSN
2020 SCImago Journal Rankings: 0.504
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCai, YI-
dc.contributor.authorChoi, SH-
dc.date.accessioned2020-10-22T08:16:31Z-
dc.date.available2020-10-22T08:16:31Z-
dc.date.issued2019-
dc.identifier.citation47th SME North American Manufacturing Research Conference (NAMRC 47), Erie, PA, 10-14 June 2019. In Procedia Manufacturing, 2019, v. 34, p. 584-593-
dc.identifier.issn2351-9789-
dc.identifier.urihttp://hdl.handle.net/10722/289721-
dc.description.abstractThis paper proposes a practical approach for toolpath planning of vector-based additive manufacturing (AM) processes with multiple robotic actuators. It classifies and models the operational spatial constraints of possible actuator collisions and indexes the deposition priorities of materials. The contours within each layer of a multi-material object are sorted according to material deposition priorities, material distribution on the actuators, and the spatial constraints for collision avoidance. The sorted contours are then arranged into a series of deposition groups for subsequent concurrent fabrication. The proposed approach has been incorporated into a virtual prototyping system for visualization and validation of AM processes with various types of robotic actuators. Case studies show that it can greatly improve the concurrency of material deposition, and hence reduce the build time of complex multi-material and large single-material objects substantially. It can be practically adapted for control of AM processes with multiple robotic actuators.-
dc.languageeng-
dc.publisherElsevier: Creative Commons Attribution Non-Commercial No-Derivatives License. The Journal's web site is located at http://www.sciencedirect.com/science/journal/23519789-
dc.relation.ispartofProcedia Manufacturing-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAdditive manufacturing-
dc.subjectMultiple robotic actuators-
dc.subjectConstraint modeling-
dc.subjectToolpath planning-
dc.subjectConcurrent fabrication-
dc.titleDeposition Group-based Toolpath Planning for Additive Manufacturing with Multiple Robotic Actuators-
dc.typeConference_Paper-
dc.identifier.emailChoi, SH: shchoi@hkucc.hku.hk-
dc.identifier.authorityChoi, SH=rp00109-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.promfg.2019.06.223-
dc.identifier.scopuseid_2-s2.0-85072408108-
dc.identifier.hkuros317061-
dc.identifier.volume34-
dc.identifier.spage584-
dc.identifier.epage593-
dc.identifier.isiWOS:000560235900073-
dc.publisher.placeNetherlands-
dc.identifier.issnl2351-9789-

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