Electricity use in big area additive manufacturing of fiber-reinforced polymer composites

In recent years, additive manufacturing (AM), especially large-format additive manufacturing (LFAM), has gained momentum in the manufacturing industry. While LFAM offers benefits over conventional manufacturing processes, such as minimizing material waste and providing vast geometric freedom, assessing its sustainability remains challenging due to limited data, particularly on energy consumption. Most existing data pertain to small-scale or desktop AM and are not directly applicable to LFAM. In this study, we conducted real-time measurements of electricity usage for a type of LFAM known as big area additive manufacturing (BAAM), which typically uses fiber-reinforced polymer pellets as feedstock. We collected electricity usage data from fifteen printing jobs over two months in an industrial production setting. These data fill the existing gap and can be reused to enhance the community's understanding of LFAM electricity usage, support further research, and promote sustainable development in advanced manufacturing technologies.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04240-w
Citations
8
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
1.63

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article

Electricity use in big area additive manufacturing of fiber-reinforced polymer composites

Srikanth Pilla, Michael Carbajales‐Dale, Muzan Williams Ijeoma, Gang Li et al.
8 citations
Scientific Data
Additive Manufacturing and 3D Printing Technologies
1.63
article

Electricity use in big area additive manufacturing of fiber-reinforced polymer composites

Srikanth Pilla, Michael Carbajales‐Dale, Muzan Williams Ijeoma, Gang Li, Hao Chen
article en
8 citations

Abstract

In recent years, additive manufacturing (AM), especially large-format additive manufacturing (LFAM), has gained momentum in the manufacturing industry. While LFAM offers benefits over conventional manufacturing processes, such as minimizing material waste and providing vast geometric freedom, assessing its sustainability remains challenging due to limited data, particularly on energy consumption. Most existing data pertain to small-scale or desktop AM and are not directly applicable to LFAM. In this study, we conducted real-time measurements of electricity usage for a type of LFAM known as big area additive manufacturing (BAAM), which typically uses fiber-reinforced polymer pellets as feedstock. We collected electricity usage data from fifteen printing jobs over two months in an industrial production setting. These data fill the existing gap and can be reused to enhance the community's understanding of LFAM electricity usage, support further research, and promote sustainable development in advanced manufacturing technologies.

Scientific DataVol. 11(1)
Clemson University (US), University of Delaware (US)
U.S. Department of Energy, Clemson University, Office of Science, Basic Energy Sciences
Openalex Percentile: Top 17%
Additive Manufacturing and 3D Printing Technologies
1.63
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