Publication:
Online-Correction of Robot-Guided Fused Deposition Modeling

cris.customurl 14841
cris.virtual.department Automatisierungstechnik
cris.virtual.department #PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtual.departmentbrowse Automatisierungstechnik
cris.virtualsource.department d27eae86-6d38-489c-b4c3-2eed27fb81cc
cris.virtualsource.department #PLACEHOLDER_PARENT_METADATA_VALUE#
dc.contributor.author Mewes, Gian
dc.contributor.author Fay, Alexander
dc.date.issued 2020
dc.description.abstract In this paper, a method for online monitoring and correcting robot-guided fused deposition modeling is presented. For development a six-axis industrial robot was equipped with a 3D printing nozzle and used for 3D printing. Additionally, two laser line sensors were mounted next to the printing nozzle at the robot’s flange for capturing process data. By comparing CAD planning data to a point cloud of a workpiece printed with the robot, the measuring accuracy of the system is presented. For online monitoring and correcting, the measurement data of those sensors are analyzed for the unique structure of the edge of the currently printed layer. By detecting this edge, relevant process parameters are identified and compared with the planning data. Based on this comparison, corrections are derived and used for adjusting the robot’s trajectory. Furthermore, a concept for generating comparative measurement data in a simulation environment is presented.
dc.description.version NA
dc.identifier.doi 10.1115/ISFA2020-9615
dc.identifier.uri https://openhsu.ub.hsu-hh.de/handle/10.24405/14841
dc.language.iso en
dc.publisher ASME
dc.relation.conference ASME International Symposium on Flexible Automation (ISFA), Chicago, 05.-09. Juli 2020
dc.relation.orgunit Automatisierungstechnik
dc.rights.accessRights metadata only access
dc.title Online-Correction of Robot-Guided Fused Deposition Modeling
dc.type Conference paper
dcterms.bibliographicCitation.booktitle 2020 International Symposium on Flexible Automation: Proceedings
dcterms.bibliographicCitation.originalpublisherplace New York
dspace.entity.type Publication
hsu.peerReviewed
hsu.uniBibliography
oaire.citation.endPage 6
oaire.citation.startPage 1
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