Abstract
Defects can result in a failed part and are costly in terms of time and material. This cost is even greater in the context of large-scale additive manufacturing where the objects can be very large. As a result, a great deal of research has focused on defect identification and mitigation. To address defects during object construction, researchers at Oak Ridge National Laboratory's Manufacturing Demonstration Facility investigated an in-situ control system comprised of two sensors: a thermal camera and laser profilometer. This control system adjusted material flow and build speed to mitigate three types of defects: low layer times, underfill, and overfill. Several test objects were constructed. The control system was found to adjust build parameters to handle low layer times of approximately 15 seconds and height deviations from -100% underfill (the absence of a layer) to 50% overfill. Within two layers, height deviations could be returned to within 10% of the expected layer height. Further, preliminary results suggest the system can compensate for uneven build surfaces.
Original language | English |
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Pages (from-to) | 625-633 |
Number of pages | 9 |
Journal | Procedia Manufacturing |
Volume | 48 |
DOIs | |
State | Published - 2020 |
Event | 48th SME North American Manufacturing Research Conference, NAMRC 48 - Cincinnati, United States Duration: Jun 22 2020 → Jun 26 2020 |
Funding
This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Office of Advanced Manufacturing, under contract number DE-AC05-00OR22725. This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and enR ewable Energy, Office of Advanced Manufacturing, under contract number DE-AC05-0022725.O
Funders | Funder number |
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U.S. Department of Energy | |
Advanced Manufacturing Office | DE-AC05-00OR22725, DE-AC05-0022725 |
Office of Energy Efficiency and Renewable Energy |
Keywords
- Big Area Additive Manufacturing
- In-situ process monitoring
- Large-scale additive manufacturing
- Laser profilometer
- Thermal analysis