About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
|
Melt Processing, Casting and Recycling
|
Presentation Title |
Revolutionizing Slab Casting: Unveiling the Power of AI and Computer Vision |
Author(s) |
Loic Fracheboud, Julien Valloton |
On-Site Speaker (Planned) |
Loic Fracheboud |
Abstract Scope |
In the aluminum industry, slab casting is a critical step to ensure high-quality products. Despite this importance, the industry lacks a reliable and accurate system capable of tracking how the process is evolving. Our solution tracks the dynamic evolution of the ingot in real time during alloy pouring, eliminating the need for costly and invasive sensors. By harnessing the potential of AI to standard cameras and taking advantage of production data, our innovation predicts the ingot's future development with precision. Process managers gain unparalleled control, foreseeing potential bar failures and avoiding wasting time, resources, and energy. With the help of a Digital Twin, the system can be used to finely tune the casting parameters to achieve the desired product quality. Witness the emergence of our latest innovation, currently undergoing development and testing in an industrial setting. |
Proceedings Inclusion? |
Planned: Light Metals |
Keywords |
Machine Learning, Process Technology, Aluminum |