Abstract
Additive manufacturing’s (AM) layer-by-layer nature is well-suited to the production of Functionally Graded Materials (FGM) with discrete material boundaries. Extrusion deposition is especially advantageous since multiple nozzles easily accommodate the inclusion of additional materials. However, discrete interfaces and sudden composition changes can limit the functionality of a printed part through inherently weak bonding. Furthermore, same-layer transitions are not only difficult to execute, but also further amplify structural weaknesses by creating multiple discrete interfaces. Therefore, successfully implementing a blended, continuous gradient will greatly advance the applicability of FGM in additive manufacturing. The pellet-fed nature and integrated screw design of the Big Area Additive Manufacturing system enables material mixing needed for development of this capability. Using constituent content analysis, this study evaluates the transition behavior of a neat ABS/CF-ABS material pair and characterizes the repeatability of the mixing and printing process, which ultimately leads to control of site-specific material deposition and properties.
| Original language | English |
|---|---|
| Pages | 1793-1803 |
| Number of pages | 11 |
| State | Published - 2019 |
| Event | 30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019 - Austin, United States Duration: Aug 12 2019 → Aug 14 2019 |
Conference
| Conference | 30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2019 |
|---|---|
| Country/Territory | United States |
| City | Austin |
| Period | 08/12/19 → 08/14/19 |
Funding
Research sponsored by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Industrial Technologies Program, under contract DE-AC05-00OR22725 with UT-Battelle, LLC. Thank you to Cincinnati Incorporated for equipment and assistance. Special thanks to the University of Alabama Birmingham’s Materials Science Department for their help and cooperation with testing and data collection. This work was supported in part by Oak Ridge Institute for Science and Education through the Higher Education Research Experiences Program (HERE).
