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dc.contributor.authorManford, David
dc.contributor.authorBudinoff, Hannah D.
dc.contributor.authorCallaghan, Benjamin J.
dc.contributor.authorJeon, Yeji
dc.date.accessioned2023-11-17T01:08:06Z
dc.date.available2023-11-17T01:08:06Z
dc.date.issued2023-10-08
dc.identifier.citationManford, D., Budinoff, H. D., Callaghan, B. J., & Jeon, Y. (2023). Towards a general model to predict energy consumption for fused filament fabrication. Manufacturing Letters, 35, 1358-1365.en_US
dc.identifier.issn2213-8463
dc.identifier.doi10.1016/j.mfglet.2023.08.114
dc.identifier.urihttp://hdl.handle.net/10150/670134
dc.description.abstractAdditive manufacturing offers the opportunity to manufacture highly complex parts capable of providing improved performance, such as using lattice structures inside parts to reduce part weight. However, further research and development is required to improve the energy efficiency of the machinu85es, given the growing focus on sustainability and sustainable manufacturing. The purpose of this research is to address the interaction between part geometry, layer thickness, and printer type to minimize energy consumption for fused filament fabrication. This experiment was conducted with a Creality Ender 3, Monoprice MP Voxel, and Prusa i3 MK 3S + 3D printers using PLA filament, with two different part geometries and two settings for layer thickness. Active power during printing was recorded during warmup and printing. Energy consumption varied with printer type and layer thickness, while increased part complexity may lead to larger energy consumption. For printer selection, other factors may influence decision making of fused filament fabrication users such as quality and machine cost which have tradeoffs when compared to energy consumption. The first and second energy prediction models evaluated in this study had relatively large mean absolute error of 58 kJ and 29 kJ, when calculated using previously derived empirical coefficients and build time estimates calculated using slicing software, respectively. Our research suggests that improvements in the accuracy of energy prediction models are needed so such models can be applied to a range of printers. This research has implications for additive manufacturing service providers, makerspaces, as well as hobbyists who want to advance the sustainability of additive manufacturing.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2023 The Authors. Published by ELSEVIER Ltd. This is an open access article under the CC BY-NC-ND license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectAdditive manufacturingen_US
dc.subjectEnergyen_US
dc.subjectFused filament fabricationen_US
dc.subjectGeometryen_US
dc.subjectPoweren_US
dc.subjectPredictionen_US
dc.titleTowards a general model to predict energy consumption for fused filament fabricationen_US
dc.typeArticleen_US
dc.contributor.departmentDepartment of Systems and Industrial Engineering, University of Arizonaen_US
dc.identifier.journalManufacturing Lettersen_US
dc.description.noteOpen access articleen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.piiS221384632300175X
dc.source.journaltitleManufacturing Letters
dc.source.volume35
dc.source.beginpage1358
dc.source.endpage1365
refterms.dateFOA2023-11-17T01:08:07Z


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© 2023 The Authors. Published by ELSEVIER Ltd. This is an open access article under the CC BY-NC-ND license.
Except where otherwise noted, this item's license is described as © 2023 The Authors. Published by ELSEVIER Ltd. This is an open access article under the CC BY-NC-ND license.