| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Beyond on the Beam IV
|
| Presentation Title |
Teaching Printers How to Print: From G-Code to Integrating AI and Cloud Computing into Additive Manufacture |
| Author(s) |
James Hardin, Erick Braham, Jennifer Ruddock, Nicholas Arn |
| On-Site Speaker (Planned) |
James Hardin |
| Abstract Scope |
Ideally, automation and artificial intelligence code developed by research labs will flow seamlessly into applications around the country. In practice, poor documentation, implementation challenges, and intellectual property issues significantly slow or stop technology transition. We are using direct-ink write (DIW) AM as a prototypical high-mix low-volume manufacturing process for exploring various tools to accelerate digital technology adoption. This presentation will show our progress from traditional G-Code automation for automation to a cloud-edge architecture with containerized modular microservices. We will also demonstrate how these tools can be easily adapted to add value to research environments. Additionally, this progress represents a step toward interoperability in automation, data, and models and, consequently, bringing digital engineering tools to data-starved high-mix low-volume manufacturing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Machine Learning, Polymers, |