MAD3 R&D 100 Award submission video highlights a materials design bottleneck currently experienced by many manufacturing companies in their metal forming and stamping processes, and how MAD3 addresses this bottleneck. Specifically, we show that MAD3 enables manufacturers to account for the internal structure of materials when shaping/forming a part for the first time by leveraging a proprietary deep learning model. This video also shows the impact this software has had on current users.
SAND2023 04100V
22 авг 2024
