Real-Time Defect Correction in Large-Scale Polymer Additive Manufacturing via Thermal Imaging and Laser Profilometer
| Autor: | Lonnie J. Love, Michael Borish, Brian K. Post, Phillip C. Chesser, Alex Roschli |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Materials science Scale (ratio) Mechanical engineering Context (language use) 02 engineering and technology Oak Ridge National Laboratory Industrial and Manufacturing Engineering Material flow 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Artificial Intelligence Control system Thermal Layer (electronics) Flip chip |
| Zdroj: | Procedia Manufacturing. 48:625-633 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2020.05.091 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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