Abstract
Hybrid manufacturing consisting of metal additively manufactured preforms and computer numerical control (CNC) machining has been established to be an effective method for higher material use rates than traditional manufacturing methods. However, hybrid manufacturing introduces unique challenges. Near-net shape designs are typically selected, which results in a smaller margin for part placement within the stock. Consequently, when moving the workpiece between deposition and machining systems, the work coordinate system must be maintained to ensure part placement. Additionally, less stock material reduces the preform stiffness, which limits the material removal rates during machining. To date, a comprehensive digital twin methodology to accurately predict the machining outcome has not been presented.
| Original language | English |
|---|---|
| Pages | 242-247 |
| Number of pages | 6 |
| State | Published - 2021 |
| Externally published | Yes |
| Event | 36th Annual Meeting of the American Society for Precision Engineering, ASPE 2021 - Minneapolis, United States Duration: Nov 1 2021 → Nov 5 2021 |
Conference
| Conference | 36th Annual Meeting of the American Society for Precision Engineering, ASPE 2021 |
|---|---|
| Country/Territory | United States |
| City | Minneapolis |
| Period | 11/1/21 → 11/5/21 |
Funding
This work relates to Department of Navy award (ONR Award No. N00014-20-1-2836) issued by the Office of Naval Research. The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein. This work relates to Department of Navy award (ONR Award No. N00014-20-1-2836) issued by the Office of Naval Research. The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein. This manuscript has been authored by UTBattelle, 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). 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
- Fiducial
- Hybrid manufacturing
- Machining dynamics
- Milling
- Structured light scanning
- Wire-arc additive