Energy and Emission Estimation Uncertainty in Fused Deposition Modeling for a Job-Shop

Clemon, L

Energy and Emission Estimation Uncertainty in Fused Deposition Modeling for a Job-Shop

Clemon, L

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Publisher:: University of Texas
Publication Type:: Conference Proceeding
Citation:: SFF Symposium Preceedings, 2016, 2016, (1), pp. 1878-1889
Issue Date:: 2016-08-10

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Field	Value	Language
dc.contributor.author	Clemon, L https://orcid.org/0000-0003-3808-7749
dc.contributor.editor	Bourell, D
dc.contributor.editor	Crawford, R
dc.contributor.editor	Seepersad, C
dc.contributor.editor	Beaman, J
dc.contributor.editor	Fish, S
dc.contributor.editor	Marcus, H
dc.date	2016-08-07
dc.date.accessioned	2023-10-19T02:38:43Z
dc.date.available	2023-10-19T02:38:43Z
dc.date.issued	2016-08-10
dc.identifier.citation	SFF Symposium Preceedings, 2016, 2016, (1), pp. 1878-1889
dc.identifier.uri	http://hdl.handle.net/10453/172807
dc.description.abstract	Solid freeform fabrication has the potential to affect both financial and environmental concerns for manufacturing enterprises. However, when planning for installation of a new machine tool, accurate energy usage estimation relies heavily on the data and model selections of the estimator. This project used a variety data sources and model decision options to examine the spread of energy consumption and global warming potential estimates for a fused deposition modeling machine. In addition to primary and secondary data sources, the use of similar machines was explored as proxy estimates for the target machine. A Monte Carlo simulation was constructed to vary the model selections, machine utilization, and data sources. The results indicated data sources and model decisions had large effects on the output and that most model estimates were low.
dc.language	en
dc.publisher	University of Texas
dc.relation.ispartof	SFF Symposium Preceedings
dc.relation.ispartof	Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Energy and Emission Estimation Uncertainty in Fused Deposition Modeling for a Job-Shop
dc.type	Conference Proceeding
utslib.citation.volume	2016
utslib.location.activity	Austin, Texas USA
pubs.organisational-group	/University of Technology Sydney
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/Strength - CAM - Centre for Advanced Manufacturing
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2023-10-19T02:38:42Z
pubs.finish-date	2016-08-10
pubs.issue	1
pubs.place-of-publication	Austin, Texas USA
pubs.publication-status	Published
pubs.start-date	2016-08-07
pubs.volume	2016
utslib.citation.issue	1
dc.location	Austin, Texas USA

Abstract:

Solid freeform fabrication has the potential to affect both financial and environmental concerns for manufacturing enterprises. However, when planning for installation of a new machine tool, accurate energy usage estimation relies heavily on the data and model selections of the estimator. This project used a variety data sources and model decision options to examine the spread of energy consumption and global warming potential estimates for a fused deposition modeling machine. In addition to primary and secondary data sources, the use of similar machines was explored as proxy estimates for the target machine. A Monte Carlo simulation was constructed to vary the model selections, machine utilization, and data sources. The results indicated data sources and model decisions had large effects on the output and that most model estimates were low.

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http://hdl.handle.net/10453/172807