| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
A Framework Development for Quality Assurance in Metal Additive Manufacturing |
| Author(s) |
Byeong-Min Roh |
| On-Site Speaker (Planned) |
Byeong-Min Roh |
| Abstract Scope |
This research presents a novel framework for monitoring metal additive manufacturing (AM) processes for quality assurance using process signatures occurring during the laser powder bed fusion process. The framework offers a structured approach based on the Systems Engineering V-model to translate part requirements into process signatures that can be monitored using in situ sensing technologies. A method for selecting sensors based on the process signatures of interest is also developed to address a related shortcoming in the field. Information gathered from the selected sensors during the build is used to ascertain part quality with respect to the microstructure and mechanical properties of the resulting metal AM part. This information can then be used for quality assurance, validating that the requirements are met by the metal AM part. The V-model framework and sensor selection method for laser powder bed fusion are demonstrated and tested using existing Ti-6Al-4V and IN625 test data. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |