How Novelis Applies Cutting-Edge Methodologies to Optimize Aluminum Design
Échec de l'ajout au panier.
Échec de l'ajout à la liste d'envies.
Échec de la suppression de la liste d’envies.
Échec du suivi du balado
Ne plus suivre le balado a échoué
How Novelis Applies Cutting-Edge Methodologies to Optimize Aluminum Design
-
Narrateur(s):
-
Auteur(s):
À propos de cet audio
Aluminum design is an incredibly complicated business. Not only do you have to get the model design right—it also has to work in the real world. In fact, the aluminum soda can is one of the most engineered products in your house right now. In this episode, SigOpt’s Head of Engineering Michael McCourt talks with Vishwanath Hegadekatte, R&D Manager at Novelis, about how he's using tools like SigOpt to optimize aluminum production and design—as well as considering environmental impact to build better products and conserve resources.
- 2:16 - Intros
- 4:03 - Metrics for aluminum design
- 4:50 - How Novelis is pioneering physics-informed machine learning
- 6:40 - How Novelis uses SigOpt
- 8:35 – Industry is on par with academia for physics-informed machine learning
- 12:18 - "The optimum is not always the best choice"
- 14:45 - What's next from Novelis
Learn more about Novelis: https://www.novelis.com
Learn more about SigOpt at sigopt.com and follow us on Twitter at twitter.com/sigopt
Subscribe to our YouTube channel to watch Experiment Exchange interviews https://www.youtube.com/channel/sigopt