About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
A Hierarchical V-Network Framework for Part Qualification in Metal Additive Manufacturing |
Author(s) |
Byeong-Min Roh, Hui Yang, Timothy Simpson, Paul Witherell , Albert T. Jones |
On-Site Speaker (Planned) |
Byeong-Min Roh |
Abstract Scope |
Advances in metal additive manufacturing (AM) technology enable greater design freedom. The design freedom and flexibility offered by a metal AM system, however, dramatically increase process uncertainties that may also raise part-quality variability. Much research has been conducted on sensing-based part qualification in AM systems by closely monitoring the fabrication process. We propose a hierarchical V-model framework of quality assurance with corresponding in-situ and ex-situ part qualification, offering innovations in modeling, test generation, and validation, and compositional verification methods in cyber-physical systems (CPS). The hierarchical V-network framework proposed here supports and guides in-situ and ex-situ quality measurements, providing a systematic structure and focusing on interrelationships between key observations that influence part quality in metal AM processing. Each networked interrelationship helps quantify the quality uncertainty associated with a metal AM process through relevant sensing data collected and by supporting decision-making regarding process anomalies in the metal AM cyber-physical infrastructure. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |