About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Computational Materials for Qualification and Certification
|
| Presentation Title |
Practical Data Management in Computational Materials for Qualification and Certification |
| Author(s) |
Andrew R. Kitahara, George R. Weber, Edward H. Glaessgen |
| On-Site Speaker (Planned) |
Andrew R. Kitahara |
| Abstract Scope |
Qualification and certification (Q&C) processes impose specific requirements for aviation flight hardware to prove predictability of material and part performance, reliability, and safety. Additive manufacturing (AM) methodologies such as powder bed fusion (PBF) create unique opportunities for lightweight, integrated flight hardware systems, but the Q&C requirements often negate the value of AM insertion, which is a core motivation discussed in the computational materials for qualification and certification (CM4QC) roadmap. To fully integrate computational materials methods with physical AM material testing, a thorough data management platform should be developed. This presentation will present ongoing efforts to develop an infrastructure to support AM research of coupled modeling and physical testing. The goal of the data platform is to prototype and demonstrate CM4QC processes at the laboratory scale and later evolve to serve production Q&C applications. Specific points of discussion will include the schema developments, requirements-driven experimental plans, and implementation procedures. |