Industry Day - MP3 Overview.pdf
PDF 988 KB Posted
- Attached to
- Aerospace Materials Processing, Performance and Characterization (AMPPAC) Federal contract opportunity
- Solicitation number
- FA2394-24-R-B006
About this file
This document appears to be a presentation overview for the Metals Probabilistic Performance Prediction (MP3) research program. The key objectives of the program are to integrate microstructure into the optimization of metals performance, enabling the Air Force with advanced modeling and predictive tools. The research focuses on developing reduced order models to incorporate microstructure into lifing through high energy X-ray diffraction data and high temperature metals testing, as well as understanding and implementing residual stress measurement and high energy diffraction techniques into standard engineering practice. The presentation provides an overview of the technical thrusts, research team, and foundational science and engineering efforts for the program.
This document is related to the Aerospace Materials Processing, Performance and Characterization (AMPPAC) solicitation released by the Department of the Air Force Materiel Command Research Laboratory. The primary objective of this program is to research, assess, develop, test, evaluate, prototype, demonstrate, and transition technologies that support the processing, behavior characterization, and performance prediction of advanced aerospace materials.
View the file
Other files for this federal contract opportunity
Show all 28
On GovTribe
Work with this file on GovTribe
- Download the original file
- Contacts named in this file
- Similar government files
- Ask GovTribe AI about this file
Text version
METALS PROBABILISTIC PERFORMANCE
PREDICTION (MP3)
1 3 M A Y 2 0 2 4
DISTRIBUTION A. Approved for public release: distribution unlimited. AFRL-2024-0969
Metals Probabilistic Performance Prediction Research Team
Integrate microstructure into optimization of metals performance, enabling Air Force systems with advanced modeling and predictive tools.
• Foundational Science
• Develop reduced order models to incorporate microstructure into lifing through High Energy X-Ray Diffraction data and High Temperature Metals Testing
• Foundational Engineering
• Understand and implement residual stress measurement techniques and high energy diffraction techniques into standard engineering practice
• Program Support
• Develop the next generation of Stage II advanced R&D programs to transition metals technology and models into Air Force Systems
Technical Thrusts:
Dr. TJ Turner Research Leader
[From Stephan M. Russ, AFRL/RXN, 2023]
DISTRIBUTION A. Approved for public release: distribution unlimited. AFRL-2024-0969
| Metals Probabilistic Performance Prediction (MP3) |
| Slide Number 2 |
File details come from the government source that posted it. Updated .