| About this Abstract |
| Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Presentation Title |
Statistical Process Control for WAAM for Productivity and Quality Improvements |
| Author(s) |
Austen Thien, Christopher Saldana |
| On-Site Speaker (Planned) |
Austen Thien |
| Abstract Scope |
Wire-arc additive manufacturing (WAAM) is a wire-fed welding-based metal additive manufacturing process where the thermal management greatly influences build quality. The interlayer dwell time is a critical parameter that determines the process condition stability, the geometric uniformity and the overall production time of the build. Thus, control strategies are needed for the WAAM process to produce stable geometry and deposition conditions while minimizing production times. In this study, a closed-loop control technique uses cumulative summation (CUSUM) to detect in-situ statistical deviations of contact tip to workpiece distance (CTWD) and current data caused by short interlayer dwell times and then implements corrective process parameters to compensate. This CUSUM control loop is applied to single-bead 20-layer WAAM builds using mild steel (ER70S-6) material. The effects of input data stream choice and corrective parameter value on the controller performance are determined by evaluating production metrics, statistical distribution of process data, and response time. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |