DIMENSIONAL COMPARISON OF A COLD SPRAY ADDITIVE MANUFACTURING SIMULATION TOOL

Murray, R; Foy, G; Clemon, L

DIMENSIONAL COMPARISON OF A COLD SPRAY ADDITIVE MANUFACTURING SIMULATION TOOL

Murray, R Foy, G Clemon, L

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Publisher:: University of Texas
Publication Type:: Conference Proceeding
Citation:: SFF Symposium Preceedings, 2019, 2019, (1), pp. 1333-1339
Issue Date:: 2019-08-14

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Field	Value	Language
dc.contributor.author	Murray, R
dc.contributor.author	Foy, G
dc.contributor.author	Clemon, L https://orcid.org/0000-0003-3808-7749
dc.date	2019-08-12
dc.date.accessioned	2020-05-27T22:51:40Z
dc.date.available	2020-05-27T22:51:40Z
dc.date.issued	2019-08-14
dc.identifier.citation	SFF Symposium Preceedings, 2019, 2019, (1), pp. 1333-1339
dc.identifier.uri	http://hdl.handle.net/10453/140978
dc.description.abstract	High-velocity particle spray greatly increases metal additive manufacturing deposition speed over other commercial methods. Accurate prediction and measurement of this process will improve process control. A LightSPEE3D machine fabricated symmetric copper components. On-board software predicts the build geometry (.stl) given the input geometry and the build settings. Assessment of prediction accuracy is needed to enable rapid part design and print setting optimization. White-light 3D-scanning and high-fidelity optical microscopy scans are compared to the simulation and intended 20mm cubes using hausdorf distance: 1. Control-repeated scans: 0.38±0.48mm, max:2.25mm 2. Intended-original vs. scans: 1.42±1.58mm, max:6.72mm 3. Software-predicted vs. scans: 0.44±0.66mm, max:3.97mm Discrepancies up to 6.72mm and asymmetric fabrication artifacts were identified. The reduction in the hausdorf distance for simulation vs intended-original, and larger distance of the simulation compared to control, indicate the simulation tool may enable rapid optimization given over/under spray quantification. Recommendations for reducing asymmetric fabrication artifacts and over/underspray are provided.
dc.language	en
dc.publisher	University of Texas
dc.publisher	http://utw10945.utweb.utexas.edu/2019-table-contents
dc.relation.ispartof	SFF Symposium Preceedings
dc.relation.ispartof	Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference
dc.rights	info:eu-repo/semantics/openAccess
dc.title	DIMENSIONAL COMPARISON OF A COLD SPRAY ADDITIVE MANUFACTURING SIMULATION TOOL
dc.type	Conference Proceeding
utslib.citation.volume	2019
utslib.location.activity	Austin, Texas USA
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-05-27T22:51:36Z
pubs.finish-date	2019-08-14
pubs.issue	1
pubs.place-of-publication	Austin, Texas USA
pubs.publication-status	Published
pubs.start-date	2019-08-12
pubs.volume	2019
utslib.start-page	1333
utslib.citation.issue	1
dc.location	Austin, Texas USA

Abstract:

High-velocity particle spray greatly increases metal additive manufacturing deposition speed over other commercial methods. Accurate prediction and measurement of this process will improve process control. A LightSPEE3D machine fabricated symmetric copper components. On-board software predicts the build geometry (.stl) given the input geometry and the build settings. Assessment of prediction accuracy is needed to enable rapid part design and print setting optimization. White-light 3D-scanning and high-fidelity optical microscopy scans are compared to the simulation and intended 20mm cubes using hausdorf distance: 1. Control-repeated scans: 0.38±0.48mm, max:2.25mm 2. Intended-original vs. scans: 1.42±1.58mm, max:6.72mm 3. Software-predicted vs. scans: 0.44±0.66mm, max:3.97mm Discrepancies up to 6.72mm and asymmetric fabrication artifacts were identified. The reduction in the hausdorf distance for simulation vs intended-original, and larger distance of the simulation compared to control, indicate the simulation tool may enable rapid optimization given over/under spray quantification. Recommendations for reducing asymmetric fabrication artifacts and over/underspray are provided.

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http://hdl.handle.net/10453/140978