Abstract
Computer aided manufacturing (CAM) techniques for directed energy deposition (DED) affect the material properties of the manufactured component based on the scan strategy used. This research investigates the material characteristics of turning-style toolpath strategies to generate axisymmetric components with additive manufacturing (AM), referred to in this research as additive turning. This novel approach leverages existing CAM technology for turning, where the component rotates around a stationary cutting tool, to generate toolpath trajectories for DED with varying wall-thicknesses and controlled deposition angles. This strategy allows for entire components to be deposited in one continuous deposition, resulting in reduced cycle-time and improved material usage efficiency compared to conventional AM strategies where the beam is switched off at the end of every layer. Results from this study show that the use of additive turning can produce over 99 % dense components with less variation and anisotropy in texture and hardness, as well as a lower variation in elongation to failure when compared to conventional strategies. This research highlights that various CAM strategies could be deployed for AM to improve process efficiency or enable localized control over part performance.
| Original language | English |
|---|---|
| Article number | 117732 |
| Journal | Journal of Materials Processing Technology |
| Volume | 308 |
| DOIs | |
| State | Published - Oct 2022 |
Funding
The authors would like to acknowledge the cooperation and support of the Okuma Corporation, Carl Zeiss Industrial Metrology LLC. The authors would also like to acknowledge Paul Brackman, Dennis Brown, Matt Sallas, Sarah Graham, Ryan Duncan, and Andrés Márquez Rossy. This work was supported by the US Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office under contract number DE-AC05-00OR22725 . The authors would like to acknowledge the cooperation and support of the Okuma Corporation, Carl Zeiss Industrial Metrology LLC. The authors would also like to acknowledge Paul Brackman, Dennis Brown, Matt Sallas, Sarah Graham, Ryan Duncan, and Andrés Márquez Rossy. This work was supported by the US Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office under contract number DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).
Keywords
- Additive manufacturing
- Computer aided manufacturing
- Directed energy deposition
- Grain structure
- Stainless steel 316L
