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 |
Keywords
- Fiducial
- Hybrid manufacturing
- Machining dynamics
- Milling
- Structured light scanning
- Wire-arc additive