TY - GEN
T1 - FY 2024 Multidimensional Data Correlation Platform: Unified Software Architecture For Advanced Materials And Manufacturing Technologies Data Management And Processing
AU - Cooper, Stephanie
AU - Accawi, Gina
AU - Barnes, Abby
AU - Forman, Wes
AU - Jones, Greyson
AU - Halsey, William
AU - Orlyanchik, Vladimir
AU - Paquit, Vincent
AU - Price, Jeff
AU - Scime, Luke
AU - Snow, Zackary
AU - Wille, Annika
AU - Ziabari, Amir
PY - 2024
Y1 - 2024
N2 - The Advanced Materials and Manufacturing Technologies (AMMT) program is exploring a data-driven approach called the Multidimensional Data Correlation (MDDC) platform to demonstrate the use of additive manufacturing for fabricating components for nuclear applications. One of the program’s main scientific goals is to use data to provide a greater understanding of manufacturing outcomes to improve the performance, reliability, and lifespan of nuclear components. If successful, this approach will lead to the development of standards for the certification and qualification of additively manufactured components, which are needed by industry for broader adoption of these technologies. To support this objective, this work package is building a data management platform to record, index, analyze, and make available the manufacturing data generated by all members of the AMMT program. In FY 2023, this work package conceptualized the architecture of the unified software platform, centered around the concept of operations and trackables, to capture the data. This year, the project implemented this vision and deployed a functional platform at the Oak Ridge National Laboratory (ORNL) Manufacturing Demonstration Facility (MDF). This report describes its implementation and functionalities and provides an example of its usage with laser powder bed technology.
AB - The Advanced Materials and Manufacturing Technologies (AMMT) program is exploring a data-driven approach called the Multidimensional Data Correlation (MDDC) platform to demonstrate the use of additive manufacturing for fabricating components for nuclear applications. One of the program’s main scientific goals is to use data to provide a greater understanding of manufacturing outcomes to improve the performance, reliability, and lifespan of nuclear components. If successful, this approach will lead to the development of standards for the certification and qualification of additively manufactured components, which are needed by industry for broader adoption of these technologies. To support this objective, this work package is building a data management platform to record, index, analyze, and make available the manufacturing data generated by all members of the AMMT program. In FY 2023, this work package conceptualized the architecture of the unified software platform, centered around the concept of operations and trackables, to capture the data. This year, the project implemented this vision and deployed a functional platform at the Oak Ridge National Laboratory (ORNL) Manufacturing Demonstration Facility (MDF). This report describes its implementation and functionalities and provides an example of its usage with laser powder bed technology.
KW - 36 MATERIALS SCIENCE
U2 - 10.2172/2472685
DO - 10.2172/2472685
M3 - Technical Report
CY - United States
ER -