Abstract
The recovery, recycling, and reuse of large format additive manufacturing composite scrap material as a secondary feedstock material is essential for large-scale additive manufacturing sustainability. To best understand the feasibility and limitations of recycled feedstock materials for large format additive manufacturing, an assessment of their printability must be completed. This study uses rheological characterization techniques in support of a viscoelastic printability model to evaluate the printability of recycled carbon fiber acrylonitrile-butadiene-styrene (rCF-ABS). The four main conditions assessed to determine the printability of rCF-ABS are: pressure driven flow, bead formation, bead functionality, and component functionality. This study found a 97.1 % decrease in the complex viscosity of rCF-ABS when compared to virgin CF-ABS and found that rCF-ABS satisfied the conditions necessary for pressure driven extrusion flow.
Original language | English |
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Title of host publication | SAMPE 2022 Conference and Exhibition |
Publisher | Soc. for the Advancement of Material and Process Engineering |
ISBN (Electronic) | 9781934551417 |
State | Published - 2022 |
Event | SAMPE 2022 Conference and Exhibition - Charlotte, United States Duration: May 23 2022 → May 26 2022 |
Publication series
Name | International SAMPE Technical Conference |
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Volume | 2022-May |
Conference
Conference | SAMPE 2022 Conference and Exhibition |
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Country/Territory | United States |
City | Charlotte |
Period | 05/23/22 → 05/26/22 |
Funding
This research is sponsored by the Research sponsored by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office, under contract DE-AC05-00OR22725 with UT-Battelle, LLC. This research was supported by the DOE Office of Energy Efficiency and Renewable Energy, Manufacturing Demonstration Facility. The authors are grateful for the equipment and assistance provided by Cincinnati Incorporated and for the materials supplied by Techmer Engineered Solutions. This work was supported in part by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS) under the Science Undergraduate Laboratory Internship program. The authors would also like to thank Dr. Christine Ajinjeru for their support and insights on rheological analysis.