| 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 |
Development of a Testbench for Additive Manufacturing Data Integration, Management, and Analytics |
| Author(s) |
Chen-Wei Yang, Alexander Kuan, Yan Lu, Sheng Yen Li, Jaehyuk Kim, Fan Tien Cheng, Haw Ching Yang |
| On-Site Speaker (Planned) |
Chen-Wei Yang |
| Abstract Scope |
This presentation describes the NIST additive manufacturing (AM) data integration testbench that is setup to test AM data integration functions, including high speed in-process data acquisition, real-time feature extraction, process monitoring, process control, predictive modeling based on machine learning, and findable, accessible, interoperable and reusable data management. Through investigations based on the testbench, data integration requirements are collected, and solutions are developed for various AM data exchange and data analytics scenarios. A reference architecture, common information models and function interfaces are also developed for AM system integration. In addition, AM data streaming and integration with MES and ERP systems are also explored using a high-performance data warehouse for long-term data archiving and metadata management.
The NIST AM Testbench provides a platform to conduct data and software integration tests and functionality evaluation from data collecting, data analysis to manufacturing operational intelligence. AM data integration capabilities can be optimized for AM industrialization |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |