A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments

Li Yi; Tianwen Chen; Svenja Ehmsen; Christopher Gläßner; Jan C. Aurich

doi:10.1016/j.procir.2020.03.036

A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments

Li Yi^*
, Tianwen Chen
, Svenja Ehmsen
, Christopher Gläßner
, Jan C. Aurich

^*Corresponding author for this work

The University of Kaiserslautern-Landau

Research output: Contribution to journal › Conference article › peer-review

10 Scopus citations

Abstract

Current studies show that the extent of the ecological benefits of additive manufacturing (AM) against conventional manufacturing is case-specific. In terms of energy performance, deeper investigations of mechanisms between parameters and energy consumption of AM processes are currently emerging research tasks. Focusing on the fused deposition modeling (FDM) process, we have designed and carried out two-level full factorial experiments for five impact factors: print speed, layer thickness, number of parts, part size, and support structure. Through 32 experiments, the effects of the impact factors on the total and specific energy consumption of FDM are analyzed.

Original language	English
Pages (from-to)	79-84
Number of pages	6
Journal	Procedia CIRP
Volume	93
DOIs	https://doi.org/10.1016/j.procir.2020.03.036
State	Published - 2020
Externally published	Yes
Event	53rd CIRP Conference on Manufacturing Systems, CMS 2020 - Chicago, United States Duration: 1 Jul 2020 → 3 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Additive manufacturing
Energy consumption
Full factorial experimental design
Fused deposition modeling

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10.1016/j.procir.2020.03.036

Cite this

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title = "A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments",

abstract = "Current studies show that the extent of the ecological benefits of additive manufacturing (AM) against conventional manufacturing is case-specific. In terms of energy performance, deeper investigations of mechanisms between parameters and energy consumption of AM processes are currently emerging research tasks. Focusing on the fused deposition modeling (FDM) process, we have designed and carried out two-level full factorial experiments for five impact factors: print speed, layer thickness, number of parts, part size, and support structure. Through 32 experiments, the effects of the impact factors on the total and specific energy consumption of FDM are analyzed.",

keywords = "Additive manufacturing, Energy consumption, Full factorial experimental design, Fused deposition modeling",

author = "Li Yi and Tianwen Chen and Svenja Ehmsen and Christopher Gl{\"a}{\ss}ner and Aurich, \{Jan C.\}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors.; 53rd CIRP Conference on Manufacturing Systems, CMS 2020 ; Conference date: 01-07-2020 Through 03-07-2020",

year = "2020",

doi = "10.1016/j.procir.2020.03.036",

language = "英语",

volume = "93",

pages = "79--84",

journal = "Procedia CIRP",

issn = "2212-8271",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments

AU - Yi, Li

AU - Chen, Tianwen

AU - Ehmsen, Svenja

AU - Gläßner, Christopher

AU - Aurich, Jan C.

PY - 2020

Y1 - 2020

N2 - Current studies show that the extent of the ecological benefits of additive manufacturing (AM) against conventional manufacturing is case-specific. In terms of energy performance, deeper investigations of mechanisms between parameters and energy consumption of AM processes are currently emerging research tasks. Focusing on the fused deposition modeling (FDM) process, we have designed and carried out two-level full factorial experiments for five impact factors: print speed, layer thickness, number of parts, part size, and support structure. Through 32 experiments, the effects of the impact factors on the total and specific energy consumption of FDM are analyzed.

AB - Current studies show that the extent of the ecological benefits of additive manufacturing (AM) against conventional manufacturing is case-specific. In terms of energy performance, deeper investigations of mechanisms between parameters and energy consumption of AM processes are currently emerging research tasks. Focusing on the fused deposition modeling (FDM) process, we have designed and carried out two-level full factorial experiments for five impact factors: print speed, layer thickness, number of parts, part size, and support structure. Through 32 experiments, the effects of the impact factors on the total and specific energy consumption of FDM are analyzed.

KW - Additive manufacturing

KW - Energy consumption

KW - Full factorial experimental design

KW - Fused deposition modeling

UR - https://www.scopus.com/pages/publications/85092436165

U2 - 10.1016/j.procir.2020.03.036

DO - 10.1016/j.procir.2020.03.036

M3 - 会议文章

AN - SCOPUS:85092436165

SN - 2212-8271

VL - 93

SP - 79

EP - 84

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 53rd CIRP Conference on Manufacturing Systems, CMS 2020

Y2 - 1 July 2020 through 3 July 2020

ER -

A study on impact factors of the energy consumption of the fused deposition modeling process using two-level full factorial experiments

Abstract

UN SDGs

Keywords

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